Human semi-supervised learning.

Science.gov (United States)

Gibson, Bryan R; Rogers, Timothy T; Zhu, Xiaojin

2013-01-01

Most empirical work in human categorization has studied learning in either fully supervised or fully unsupervised scenarios. Most real-world learning scenarios, however, are semi-supervised: Learners receive a great deal of unlabeled information from the world, coupled with occasional experiences in which items are directly labeled by a knowledgeable source. A large body of work in machine learning has investigated how learning can exploit both labeled and unlabeled data provided to a learner. Using equivalences between models found in human categorization and machine learning research, we explain how these semi-supervised techniques can be applied to human learning. A series of experiments are described which show that semi-supervised learning models prove useful for explaining human behavior when exposed to both labeled and unlabeled data. We then discuss some machine learning models that do not have familiar human categorization counterparts. Finally, we discuss some challenges yet to be addressed in the use of semi-supervised models for modeling human categorization. Copyright © 2013 Cognitive Science Society, Inc.

Impedance learning for robotic contact tasks using natural actor-critic algorithm.

Science.gov (United States)

Kim, Byungchan; Park, Jooyoung; Park, Shinsuk; Kang, Sungchul

2010-04-01

Compared with their robotic counterparts, humans excel at various tasks by using their ability to adaptively modulate arm impedance parameters. This ability allows us to successfully perform contact tasks even in uncertain environments. This paper considers a learning strategy of motor skill for robotic contact tasks based on a human motor control theory and machine learning schemes. Our robot learning method employs impedance control based on the equilibrium point control theory and reinforcement learning to determine the impedance parameters for contact tasks. A recursive least-square filter-based episodic natural actor-critic algorithm is used to find the optimal impedance parameters. The effectiveness of the proposed method was tested through dynamic simulations of various contact tasks. The simulation results demonstrated that the proposed method optimizes the performance of the contact tasks in uncertain conditions of the environment.

Learning Organic Chemistry Through Natural Products

Indian Academy of Sciences (India)

Higher Learning. ... The Series on "learning Organic Chemistry Through Natural Products". Nature is a remarkable ... skeletal structure to the interior electronic configu- ration ... Among the advantages of this approach are the fact that unlike the.

Do domestic dogs learn words based on humans' referential behaviour?

Directory of Open Access Journals (Sweden)

Sebastian Tempelmann

Full Text Available Some domestic dogs learn to comprehend human words, although the nature and basis of this learning is unknown. In the studies presented here we investigated whether dogs learn words through an understanding of referential actions by humans rather than simple association. In three studies, each modelled on a study conducted with human infants, we confronted four word-experienced dogs with situations involving no spatial-temporal contiguity between the word and the referent; the only available cues were referential actions displaced in time from exposure to their referents. We found that no dogs were able to reliably link an object with a label based on social-pragmatic cues alone in all the tests. However, one dog did show skills in some tests, possibly indicating an ability to learn based on social-pragmatic cues.

Intrinsically motivated reinforcement learning for human-robot interaction in the real-world.

Science.gov (United States)

Qureshi, Ahmed Hussain; Nakamura, Yutaka; Yoshikawa, Yuichiro; Ishiguro, Hiroshi

2018-03-26

For a natural social human-robot interaction, it is essential for a robot to learn the human-like social skills. However, learning such skills is notoriously hard due to the limited availability of direct instructions from people to teach a robot. In this paper, we propose an intrinsically motivated reinforcement learning framework in which an agent gets the intrinsic motivation-based rewards through the action-conditional predictive model. By using the proposed method, the robot learned the social skills from the human-robot interaction experiences gathered in the real uncontrolled environments. The results indicate that the robot not only acquired human-like social skills but also took more human-like decisions, on a test dataset, than a robot which received direct rewards for the task achievement. Copyright © 2018 Elsevier Ltd. All rights reserved.

Learning with Nature and Learning from Others: Nature as Setting and Resource for Early Childhood Education

Science.gov (United States)

MacQuarrie, Sarah; Nugent, Clare; Warden, Claire

2015-01-01

Nature-based learning is an increasingly popular type of early childhood education. Despite this, children's experiences--in particular, their form and function within different settings and how they are viewed by practitioners--are relatively unknown. Accordingly, the use of nature as a setting and a resource for learning was researched. A…

INHUMAN HUMAN NATURE: LOIS LOWRY’S THE GIVER

Directory of Open Access Journals (Sweden)

Oznur Cengiz

2017-06-01

Full Text Available Lois Lowry (1937- is a prolific author having a number of books – Number the Stars (1989, Gathering Blue (2000, and Messenger (2004 – and awards especially in the field of children’s literature. Her significant science fiction novel, The Giver (1993, presents a social panorama in order to thoroughly analyze the society’s mechanical life style. As an example of dystopia, the author delineates a systematically organized social order where people abide by the rules naturally. Nevertheless, Jonas, the protagonist and Receiver of Memory, is the first person to discern robotic/mechanical order in the society which is transformed into “sameness” eliminating all individual differences and emotions such as pain, happiness, cold, colors, and so on. Therefore, Receiver of Memory storing past memories of the society is the only one who is aware of human characteristics. The crucial point is that human figure, far from the current one, displays inhuman (non-human features without memories and hope. Mechanical association between individuals and social structure ascertains artificial form of life in which there is no chance to choose. After learning truths behind the strict order, Jonas is in pursuit of real world with all kinds of feelings; however, his recognition is not able to change the whole society. Hence, this paper aims at delving into the relationship between human nature and society with regard to posthuman approach and inhuman human form in accordance with transformation of human nature.

Biology, politics, and the emerging science of human nature.

Science.gov (United States)

Fowler, James H; Schreiber, Darren

2008-11-07

In the past 50 years, biologists have learned a tremendous amount about human brain function and its genetic basis. At the same time, political scientists have been intensively studying the effect of the social and institutional environment on mass political attitudes and behaviors. However, these separate fields of inquiry are subject to inherent limitations that may only be resolved through collaboration across disciplines. We describe recent advances and argue that biologists and political scientists must work together to advance a new science of human nature.

Individual differences in the learning potential of human beings

Science.gov (United States)

Stern, Elsbeth

2017-01-01

To the best of our knowledge, the genetic foundations that guide human brain development have not changed fundamentally during the past 50,000 years. However, because of their cognitive potential, humans have changed the world tremendously in the past centuries. They have invented technical devices, institutions that regulate cooperation and competition, and symbol systems, such as script and mathematics, that serve as reasoning tools. The exceptional learning ability of humans allows newborns to adapt to the world they are born into; however, there are tremendous individual differences in learning ability among humans that become obvious in school at the latest. Cognitive psychology has developed models of memory and information processing that attempt to explain how humans learn (general perspective), while the variation among individuals (differential perspective) has been the focus of psychometric intelligence research. Although both lines of research have been proceeding independently, they increasingly converge, as both investigate the concepts of working memory and knowledge construction. This review begins with presenting state-of-the-art research on human information processing and its potential in academic learning. Then, a brief overview of the history of psychometric intelligence research is combined with presenting recent work on the role of intelligence in modern societies and on the nature-nurture debate. Finally, promising approaches to integrating the general and differential perspective will be discussed in the conclusion of this review.

Natural Learning for a Connected World: Education, Technology, and the Human Brain

Science.gov (United States)

Caine, Renate N.; Caine, Geoffrey

2011-01-01

Why do video games fascinate kids so much that they will spend hours pursuing a difficult skill? Why don't they apply this kind of intensity to their schoolwork? These questions are answered by the authors who pioneered brain/mind learning with the publication of "Making Connections: Teaching and the Human Brain". In their new book, "Natural…

Humans make efficient use of natural image statistics when performing spatial interpolation.

Science.gov (United States)

D'Antona, Anthony D; Perry, Jeffrey S; Geisler, Wilson S

2013-12-16

Visual systems learn through evolution and experience over the lifespan to exploit the statistical structure of natural images when performing visual tasks. Understanding which aspects of this statistical structure are incorporated into the human nervous system is a fundamental goal in vision science. To address this goal, we measured human ability to estimate the intensity of missing image pixels in natural images. Human estimation accuracy is compared with various simple heuristics (e.g., local mean) and with optimal observers that have nearly complete knowledge of the local statistical structure of natural images. Human estimates are more accurate than those of simple heuristics, and they match the performance of an optimal observer that knows the local statistical structure of relative intensities (contrasts). This optimal observer predicts the detailed pattern of human estimation errors and hence the results place strong constraints on the underlying neural mechanisms. However, humans do not reach the performance of an optimal observer that knows the local statistical structure of the absolute intensities, which reflect both local relative intensities and local mean intensity. As predicted from a statistical analysis of natural images, human estimation accuracy is negligibly improved by expanding the context from a local patch to the whole image. Our results demonstrate that the human visual system exploits efficiently the statistical structure of natural images.

Human nature, human culture: the case of cultural evolution.

Science.gov (United States)

Lewens, Tim

2017-10-06

In recent years, far from arguing that evolutionary approaches to our own species permit us to describe the fundamental character of human nature, a prominent group of cultural evolutionary theorists has instead argued that the very idea of 'human nature' is one we should reject. It makes no sense, they argue, to speak of human nature in opposition to human culture. The very same sceptical arguments have also led some thinkers-usually from social anthropology-to dismiss the intimately related idea that we can talk of human culture in opposition to human nature. How, then, are we supposed to understand the cultural evolutionary project itself, whose proponents seem to deny the distinction between human nature and human culture, while simultaneously relying on a closely allied distinction between 'genetic' (or sometimes 'organic') evolution and 'cultural' evolution? This paper defends the cultural evolutionary project against the charge that, in refusing to endorse the concept of human nature, it has inadvertently sabotaged itself.

Learning from nature: Nature-inspired algorithms

DEFF Research Database (Denmark)

Albeanu, Grigore; Madsen, Henrik; Popentiu-Vladicescu, Florin

2016-01-01

.), genetic and evolutionary strategies, artificial immune systems etc. Well-known examples of applications include: aircraft wing design, wind turbine design, bionic car, bullet train, optimal decisions related to traffic, appropriate strategies to survive under a well-adapted immune system etc. Based......During last decade, the nature has inspired researchers to develop new algorithms. The largest collection of nature-inspired algorithms is biology-inspired: swarm intelligence (particle swarm optimization, ant colony optimization, cuckoo search, bees' algorithm, bat algorithm, firefly algorithm etc...... on collective social behaviour of organisms, researchers have developed optimization strategies taking into account not only the individuals, but also groups and environment. However, learning from nature, new classes of approaches can be identified, tested and compared against already available algorithms...

Emotional engagement with participatory simulations as a tool for learning and decision-support for coupled human-natural systems: Flood hazards and urban development

Science.gov (United States)

Gilligan, J. M.; Corey, B.; Camp, J. V.; John, N. J.; Sengupta, P.

2015-12-01

The complex interactions between land use and natural hazards pose serious challenges in education, research, and public policy. Where complex nonlinear interactions produce unintuitive results, interactive computer simulations can be useful tools for education and decision support. Emotions play important roles in cognition and learning, especially where risks are concerned. Interactive simulations have the potential to harness emotional engagement to enhance learning and understanding of risks in coupled human-natural systems. We developed a participatory agent-based simulation of cities at risk of river flooding. Participants play the role of managers of neighboring cities along a flood-prone river and make choices about building flood walls to protect their inhabitants. Simulated agents participate in dynamic real estate markets in which demand for property, and thus values and decisions to build, respond to experience with flooding over time. By reducing high-frequency low-magnitude flooding, flood walls may stimulate development, thus increasing tax revenues but also increasing vulnerability to uncommon floods that overtop the walls. Flood waves are launched stochastically and propagate downstream. Flood walls that restrict overbank flow at one city can increase the amplitude of a flood wave at neighboring cities, both up and downstream. We conducted a pilot experiment with a group of three pre-service teachers. The subjects successfully learned key concepts of risk tradeoffs and unintended consequences that can accompany flood-control measures. We also observed strong emotional responses, including hope, fear, and sense of loss. This emotional engagement with a model of coupled human-natural systems was very different from previous experiments on participatory simulations of purely natural systems for physics pedagogy. We conducted a second session in which the participants were expert engineers. We will present the results of these experiments and the

Learning Analytics for Networked Learning Models

Science.gov (United States)

Joksimovic, Srecko; Hatala, Marek; Gaševic, Dragan

2014-01-01

Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human-human and human-information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to…

Evolution of Humans: Understanding the Nature and Methods of Science through Cooperative Learning

Science.gov (United States)

Lee, Yeung Chung

2011-01-01

This article describes the use of an enquiry-based approach to the study of human evolution in a practical context, integrating role-playing, jigsaw cooperative learning and scientific argumentation. The activity seeks to unravel the evolutionary relationships of five hominids and one ape from rather "messy" evidence. This approach enhanced the…

Sustainability Learning in Natural Resource Use and Management

Directory of Open Access Journals (Sweden)

J. David Tàbara

2007-12-01

Full Text Available We contribute to the normative discussion on sustainability learning and provide a theoretical integrative framework intended to underlie the main components and interrelations of what learning is required for social learning to become sustainability learning. We demonstrate how this framework has been operationalized in a participatory modeling interface to support processes of natural resource integrated assessment and management. The key modeling components of our view are: structure (S, energy and resources (E, information and knowledge (I, social-ecological change (C, and the size, thresholds, and connections of different social-ecological systems. Our approach attempts to overcome many of the cultural dualisms that exist in the way social and ecological systems are perceived and affect many of the most common definitions of sustainability. Our approach also emphasizes the issue of limits within a total social-ecological system and takes a multiscale, agent-based perspective. Sustainability learning is different from social learning insofar as not all of the outcomes of social learning processes necessarily improve what we consider as essential for the long-term sustainability of social-ecological systems, namely, the co-adaptive systemic capacity of agents to anticipate and deal with the unintended, undesired, and irreversible negative effects of development. Hence, the main difference of sustainability learning from social learning is the content of what is learned and the criteria used to assess such content; these are necessarily related to increasing the capacity of agents to manage, in an integrative and organic way, the total social-ecological system of which they form a part. The concept of sustainability learning and the SEIC social-ecological framework can be useful to assess and communicate the effectiveness of multiple agents to halt or reverse the destructive trends affecting the life-support systems upon which all humans

Competition for resources can explain patterns of social and individual learning in nature.

Science.gov (United States)

Smolla, Marco; Gilman, R Tucker; Galla, Tobias; Shultz, Susanne

2015-09-22

In nature, animals often ignore socially available information despite the multiple theoretical benefits of social learning over individual trial-and-error learning. Using information filtered by others is quicker, more efficient and less risky than randomly sampling the environment. To explain the mix of social and individual learning used by animals in nature, most models penalize the quality of socially derived information as either out of date, of poor fidelity or costly to acquire. Competition for limited resources, a fundamental evolutionary force, provides a compelling, yet hitherto overlooked, explanation for the evolution of mixed-learning strategies. We present a novel model of social learning that incorporates competition and demonstrates that (i) social learning is favoured when competition is weak, but (ii) if competition is strong social learning is favoured only when resource quality is highly variable and there is low environmental turnover. The frequency of social learning in our model always evolves until it reduces the mean foraging success of the population. The results of our model are consistent with empirical studies showing that individuals rely less on social information where resources vary little in quality and where there is high within-patch competition. Our model provides a framework for understanding the evolution of social learning, a prerequisite for human cumulative culture. © 2015 The Author(s).

Pragmatic Frames for Teaching and Learning in Human-Robot Interaction: Review and Challenges.

Science.gov (United States)

Vollmer, Anna-Lisa; Wrede, Britta; Rohlfing, Katharina J; Oudeyer, Pierre-Yves

2016-01-01

One of the big challenges in robotics today is to learn from human users that are inexperienced in interacting with robots but yet are often used to teach skills flexibly to other humans and to children in particular. A potential route toward natural and efficient learning and teaching in Human-Robot Interaction (HRI) is to leverage the social competences of humans and the underlying interactional mechanisms. In this perspective, this article discusses the importance of pragmatic frames as flexible interaction protocols that provide important contextual cues to enable learners to infer new action or language skills and teachers to convey these cues. After defining and discussing the concept of pragmatic frames, grounded in decades of research in developmental psychology, we study a selection of HRI work in the literature which has focused on learning-teaching interaction and analyze the interactional and learning mechanisms that were used in the light of pragmatic frames. This allows us to show that many of the works have already used in practice, but not always explicitly, basic elements of the pragmatic frames machinery. However, we also show that pragmatic frames have so far been used in a very restricted way as compared to how they are used in human-human interaction and argue that this has been an obstacle preventing robust natural multi-task learning and teaching in HRI. In particular, we explain that two central features of human pragmatic frames, mostly absent of existing HRI studies, are that (1) social peers use rich repertoires of frames, potentially combined together, to convey and infer multiple kinds of cues; (2) new frames can be learnt continually, building on existing ones, and guiding the interaction toward higher levels of complexity and expressivity. To conclude, we give an outlook on the future research direction describing the relevant key challenges that need to be solved for leveraging pragmatic frames for robot learning and teaching.

Injecting learning experience into geoethics for human and natural sustainability

Science.gov (United States)

Crookall, David

2016-04-01

Our early life experience has a strong influence on our actions in later life. Humans today are just starting to re-learn, collectively, how to treat Earth with the respect that it deserves and that is needed for our offspring to inherit a decent home. However, we still have a long way to go to instill in people at large the ethics, knowledge and skills necessary to ensure a healthy journey for humanity on spaceship. The experience of early upbringing, of schooling and of everyday life is probably the only path strong enough to develop in people a strong desire for ethical behaviour towards their environment. The problem is that the measures taken today to ensure the development of ethical behaviours in the population at large are woefully inadequate. At best, western school programmes contain a few lessons devoted to the environment, and even then they usually just pay lip service to the basics of the environment; they rarely aim to instill skills and knowledge in order to understand and care deeply for the environment. My presentation will suggest some practical ways to help communities build ethical frameworks and strategies to guide and generate tools, methods and activities that guide young people (pupils, students, scholars, researchers) to toward more ethical behaviours regarding their environment and their communities. Examples might include: - Developing geoethical dimensions of internships, in all areas; - Designing, testing and running simulation/games+debriefing providing a rich affective-cognitive context for grappling with geoethical problems- eg, FISH BANKS, KEEP COOL. - Pressuring governments to make geoethics, environmental care and climate change understanding central components of (almost) all educational programmes (in, eg, history, language, business, law, medicine, etc). - Subsidizing environmental-care summer schools for families and teachers at all levels. - Etc. One of my actions is founding a academic journal in the area, maybe with the

Vicarious learning from human models in monkeys.

Science.gov (United States)

Falcone, Rossella; Brunamonti, Emiliano; Genovesio, Aldo

2012-01-01

We examined whether monkeys can learn by observing a human model, through vicarious learning. Two monkeys observed a human model demonstrating an object-reward association and consuming food found underneath an object. The monkeys observed human models as they solved more than 30 learning problems. For each problem, the human models made a choice between two objects, one of which concealed a piece of apple. In the test phase afterwards, the monkeys made a choice of their own. Learning was apparent from the first trial of the test phase, confirming the ability of monkeys to learn by vicarious observation of human models.

Managing Human Resource Learning for Innovation

DEFF Research Database (Denmark)

Nielsen, Peter

Managing human resource learning for innovation develops a systemic understanding of building innovative capabilities. Building innovative capabilities require active creation, coordination and absorption of useful knowledge and thus a cohesive management approach to learning. Often learning...... in organizations and work is approached without considerations on how to integrate it in the management of human resources. The book investigates the empirical conditions for managing human resources learning for innovation. With focus on innovative performance the importance of modes of innovation, clues...

Vicarious learning from human models in monkeys.

Directory of Open Access Journals (Sweden)

Rossella Falcone

Full Text Available We examined whether monkeys can learn by observing a human model, through vicarious learning. Two monkeys observed a human model demonstrating an object-reward association and consuming food found underneath an object. The monkeys observed human models as they solved more than 30 learning problems. For each problem, the human models made a choice between two objects, one of which concealed a piece of apple. In the test phase afterwards, the monkeys made a choice of their own. Learning was apparent from the first trial of the test phase, confirming the ability of monkeys to learn by vicarious observation of human models.

Robot learning from human teachers

CERN Document Server

Chernova, Sonia

2014-01-01

Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus on the unique technical challenges associated with designing robots that learn f

Learning Organic Chemistry Through Natural Products

Indian Academy of Sciences (India)

SERIES I ARTICLE. Learning Organic Chemistry. Through Natural Products. 2. Determination of Absolute Stereochemistry. N R Krishnaswamy was initiated into the world of natural products by T R. Seshadri at University of. Delhi and has carried on the glorious traditions of his mentor. He has taught at Bangalore University,.

Vicarious Learning from Human Models in Monkeys

OpenAIRE

Falcone, Rossella; Brunamonti, Emiliano; Genovesio, Aldo

2012-01-01

We examined whether monkeys can learn by observing a human model, through vicarious learning. Two monkeys observed a human model demonstrating an object-reward association and consuming food found underneath an object. The monkeys observed human models as they solved more than 30 learning problems. For each problem, the human models made a choice between two objects, one of which concealed a piece of apple. In the test phase afterwards, the monkeys made a choice of their own. Learning was app...

Accounting for individual differences in human associative learning.

Science.gov (United States)

Byrom, Nicola C

2013-09-04

Associative learning has provided fundamental insights to understanding psychopathology. However, psychopathology occurs along a continuum and as such, identification of disruptions in processes of associative learning associated with aspects of psychopathology illustrates a general flexibility in human associative learning. A handful of studies have looked specifically at individual differences in human associative learning, but while much work has concentrated on accounting for flexibility in learning caused by external factors, there has been limited work considering how to model the influence of dispositional factors. This review looks at the range of individual differences in human associative learning that have been explored and the attempts to account for, and model, this flexibility. To fully understand human associative learning, further research needs to attend to the causes of variation in human learning.

Accounting for Individual Differences in Human Associative Learning.

Directory of Open Access Journals (Sweden)

Nicola C Byrom

2013-09-01

Full Text Available Associative learning has provided fundamental insights to understanding psychopathology. However, psychopathology occurs along a continuum and as such, identification of disruptions in processes of associative learning associated with aspects of psychopathology illustrates a general flexibility in human associative learning. A handful of studies have looked specifically at individual differences in human associative learning, but while much work has concentrated on accounting for flexibility in learning caused by external factors, there has been limited work considering how to model the influence of dispositional factors. This review looks at the range of individual differences in human associative learning that have been explored and the attempts to account for, and model, this flexibility. To fully understand human associative learning, further research needs to attend to the causes of variation in human learning.

Mixed-complexity artificial grammar learning in humans and macaque monkeys: evaluating learning strategies.

Science.gov (United States)

Wilson, Benjamin; Smith, Kenny; Petkov, Christopher I

2015-03-01

Artificial grammars (AG) can be used to generate rule-based sequences of stimuli. Some of these can be used to investigate sequence-processing computations in non-human animals that might be related to, but not unique to, human language. Previous AG learning studies in non-human animals have used different AGs to separately test for specific sequence-processing abilities. However, given that natural language and certain animal communication systems (in particular, song) have multiple levels of complexity, mixed-complexity AGs are needed to simultaneously evaluate sensitivity to the different features of the AG. Here, we tested humans and Rhesus macaques using a mixed-complexity auditory AG, containing both adjacent (local) and non-adjacent (longer-distance) relationships. Following exposure to exemplary sequences generated by the AG, humans and macaques were individually tested with sequences that were either consistent with the AG or violated specific adjacent or non-adjacent relationships. We observed a considerable level of cross-species correspondence in the sensitivity of both humans and macaques to the adjacent AG relationships and to the statistical properties of the sequences. We found no significant sensitivity to the non-adjacent AG relationships in the macaques. A subset of humans was sensitive to this non-adjacent relationship, revealing interesting between- and within-species differences in AG learning strategies. The results suggest that humans and macaques are largely comparably sensitive to the adjacent AG relationships and their statistical properties. However, in the presence of multiple cues to grammaticality, the non-adjacent relationships are less salient to the macaques and many of the humans. © 2015 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Natural pedagogy as evolutionary adaptation.

Science.gov (United States)

Csibra, Gergely; Gergely, György

2011-04-12

We propose that the cognitive mechanisms that enable the transmission of cultural knowledge by communication between individuals constitute a system of 'natural pedagogy' in humans, and represent an evolutionary adaptation along the hominin lineage. We discuss three kinds of arguments that support this hypothesis. First, natural pedagogy is likely to be human-specific: while social learning and communication are both widespread in non-human animals, we know of no example of social learning by communication in any other species apart from humans. Second, natural pedagogy is universal: despite the huge variability in child-rearing practices, all human cultures rely on communication to transmit to novices a variety of different types of cultural knowledge, including information about artefact kinds, conventional behaviours, arbitrary referential symbols, cognitively opaque skills and know-how embedded in means-end actions. Third, the data available on early hominin technological culture are more compatible with the assumption that natural pedagogy was an independently selected adaptive cognitive system than considering it as a by-product of some other human-specific adaptation, such as language. By providing a qualitatively new type of social learning mechanism, natural pedagogy is not only the product but also one of the sources of the rich cultural heritage of our species.

Natural pedagogy as evolutionary adaptation

Science.gov (United States)

Csibra, Gergely; Gergely, György

2011-01-01

We propose that the cognitive mechanisms that enable the transmission of cultural knowledge by communication between individuals constitute a system of ‘natural pedagogy’ in humans, and represent an evolutionary adaptation along the hominin lineage. We discuss three kinds of arguments that support this hypothesis. First, natural pedagogy is likely to be human-specific: while social learning and communication are both widespread in non-human animals, we know of no example of social learning by communication in any other species apart from humans. Second, natural pedagogy is universal: despite the huge variability in child-rearing practices, all human cultures rely on communication to transmit to novices a variety of different types of cultural knowledge, including information about artefact kinds, conventional behaviours, arbitrary referential symbols, cognitively opaque skills and know-how embedded in means-end actions. Third, the data available on early hominin technological culture are more compatible with the assumption that natural pedagogy was an independently selected adaptive cognitive system than considering it as a by-product of some other human-specific adaptation, such as language. By providing a qualitatively new type of social learning mechanism, natural pedagogy is not only the product but also one of the sources of the rich cultural heritage of our species. PMID:21357237

Human, nature, society: synergetic dimension

Directory of Open Access Journals (Sweden)

Н. А. Вахнин

2016-11-01

Full Text Available The paper gives an overview of the major directions of development in the system ‘human – society – nature’ and their philosophical and scientific contemplation. The fundamental achievements of the society and responsibility of the mankind for its progressive development have been analyzed. The distinctive features of changes in human interactions with nature in the era of globalization and intensive progress in science and technology are presented. It is reported that numerous studies of human intervention in the biosphere processes prove that it can become the most profound anomaly in the development of not only the biosphere but of the entire Earth system, i.e. become a cause of such conditions on the Earth that would be alien to the general biological process in its ontological sense.  The consequence of this is a dissonance in the rate of social evolution (social form of matter and nature evolution (all pre-social forms of matter, which is translated into the disturbed ‘functional optimum’ of intensive development of the ‘human-society-nature’ system, a threat of environmental crisis and disturbances in the very biological nature  of a human. It is asserted that synergetics today still remains appealing due to a need to find adequate answers to global civilization challenges in the world living through a crisis. According to estimations, human synergetic activities come to the fore in the 21st century, it is especially true for small and large self-organizing groups, which shall not only live in harmony with the nature, but also successfully manage all different-level subsystems. It is shown that synergetics is a new dialogue between human and nature, a new synthesis of the human knowl- edge and wisdom. This is a new approach to gaining insight into the evolution crises, instability and chaos, to mastering complicated systems in the state of volatility.

A review of assertions about the processes and outcomes of social learning in natural resource management.

Science.gov (United States)

Cundill, G; Rodela, R

2012-12-30

Social learning has become a central theme in natural resource management. This growing interest is underpinned by a number of assertions about the outcomes of social learning, and about the processes that support these outcomes. Yet researchers and practitioners who seek to engage with social learning through the natural resource management literature often become disorientated by the myriad processes and outcomes that are identified. We trace the roots of current assertions about the processes and outcomes of social learning in natural resource management, and assess the extent to which there is an emerging consensus on these assertions. Results suggest that, on the one hand, social learning is described as taking place through deliberative interactions amongst multiple stakeholders. During these interactions, it is argued that participants learn to work together and build relationships that allow for collective action. On the other hand, social learning is described as occurring through deliberate experimentation and reflective practice. During these iterative cycles of action, monitoring and reflection, participants learn how to cope with uncertainty when managing complex systems. Both of these processes, and their associated outcomes, are referred to as social learning. Where, therefore, should researchers and practitioners focus their attention? Results suggest that there is an emerging consensus that processes that support social learning involve sustained interaction between stakeholders, on-going deliberation and the sharing of knowledge in a trusting environment. There is also an emerging consensus that the key outcome of such learning is improved decision making underpinned by a growing awareness of human-environment interactions, better relationships and improved problem-solving capacities for participants. Copyright © 2012 Elsevier Ltd. All rights reserved.

Synthesis of human-nature feedbacks

Directory of Open Access Journals (Sweden)

Vanessa Hull

2015-09-01

Full Text Available In today's globalized world, humans and nature are inextricably linked. The coupled human and natural systems (CHANS framework provides a lens with which to understand such complex interactions. One of the central components of the CHANS framework involves examining feedbacks among human and natural systems, which form when effects from one system on another system feed back to affect the first system. Despite developments in understanding feedbacks in single disciplines, interdisciplinary research on CHANS feedbacks to date is scant and often site-specific, a shortcoming that prevents complex coupled systems from being fully understood. The special feature "Exploring Feedbacks in Coupled Human and Natural Systems (CHANS" makes strides to fill this critical gap. Here, as an introduction to the special feature, we provide an overview of CHANS feedbacks. In addition, we synthesize key CHANS feedbacks that emerged in the papers of this special feature across agricultural, forest, and urban landscapes. We also examine emerging themes explored across the papers, including multilevel feedbacks, time lags, and surprises as a result of feedbacks. We conclude with recommendations for future research that can build upon the foundation provided in the special feature.

Collaborative Learning in Practice : Examples from Natural ...

International Development Research Centre (IDRC) Digital Library (Canada)

1 déc. 2010 ... Couverture du livre Collaborative Learning in Practice: Examples from Natural Resource Management in Asia ... Collaborative Learning in Practice saura intéresser les universitaires, les chercheurs et les étudiants des cycles supérieurs en études du développement, ... Strategic leverage on value chains.

Natural Information Processing Systems

OpenAIRE

John Sweller; Susan Sweller

2006-01-01

Natural information processing systems such as biological evolution and human cognition organize information used to govern the activities of natural entities. When dealing with biologically secondary information, these systems can be specified by five common principles that we propose underlie natural information processing systems. The principles equate: (1) human long-term memory with a genome; (2) learning from other humans with biological reproduction; (3) problem solving through random ...

Collaborative Learning in Practice : Examples from Natural ...

International Development Research Centre (IDRC) Digital Library (Canada)

1 déc. 2010 ... Parmi ses publications récentes, citons Learning from the Field: Innovating China's Higher Education System (Foundation Books et CRDI, 2008) et Social and Gender Analysis in Natural Resource Management: Learning Studies and Lessons from Asia (Sage India, CAP et CRDI, 2006). Edición español: ...

Medical humanities: a closer look at learning.

Science.gov (United States)

Patterson, A; Sharek, D; Hennessy, M; Phillips, M; Schofield, S

2016-06-01

The inclusion of medical humanities with medical curricula is a question that has been the focus of attention for many within the evolving field. This study addressed the question from a medical education perspective and aimed to investigate what students at Trinity College Dublin learned from participating in a short medical humanities student-selected module in their first year of an undergraduate medical programme. A total of 156 students provided a written reflection on a memorable event that occurred during their student-selected module. The reflections were analysed using the Reflection Evaluation for Learners' Enhanced Competencies Tool (REFLECT) and through qualitative thematic analysis of the written reflections. Evidence of learning from the REFLECT quantitative analysis showed that 50% of students displayed higher levels of reflection when describing their experience. The reflection content analysis supported the heterogeneous nature of learning outcome for students, with evidence to support the idea that the module provided opportunities for students to explore their beliefs, ideas and feelings regarding a range of areas outside their current experience or world view, to consider the views of others that they may have not previously been aware of, to reflect on their current views, and to consider their future professional practice. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Hauntings of Human Nature

DEFF Research Database (Denmark)

Clasen, Mathias

2017-01-01

The central conflicts of Stephen King’s horror novel The Shining are rooted in human nature and reflect evolutionarily recurrent adaptive problems—the problem of balancing conflicting evolved motives, such as motives for selfish status striving versus motives for affiliative nurturing behavior......, and the problem of surviving the hostile forces of nature. Moreover, the supernatural elements of the novel resonate with evolved intuitions about non-material, moral forces at work in the world. That is why the novel continues to engage readers worldwide. Most critics, however, have overlooked or distorted...... the psychological underpinnings of the novel and the crucial function of the supernatural elements in the meaning structure of the novel. Hence we need an evolutionary psychological perspective which builds on recent findings in the sciences of human nature to account for the novel’s meaning, effects, and continued...

Human Learning and Memory

Science.gov (United States)

Lieberman, David A.

2012-01-01

This innovative textbook is the first to integrate learning and memory, behaviour, and cognition. It focuses on fascinating human research in both memory and learning (while also bringing in important animal studies) and brings the reader up to date with the latest developments in the subject. Students are encouraged to think critically: key…

Learning Organic Chemistry Through Natural Products

Indian Academy of Sciences (India)

Home; Journals; Resonance – Journal of Science Education; Volume 16; Issue 12. Learning Organic Chemistry Through Natural Products - Architectural Designs in Molecular Constructions. N R Krishnaswamy. Volume 16 Issue 12 December 2011 pp 1287-1293 ...

Learning Organic Chemistry Through Natural Products

Indian Academy of Sciences (India)

Home; Journals; Resonance – Journal of Science Education; Volume 1; Issue 2. Learning Organic Chemistry Through Natural Products Determination of Absolute Stereochemistry. N R Krishnaswamy. Series Article Volume 1 Issue 2 February 1996 pp 40-46 ...

The nature of human rights

Directory of Open Access Journals (Sweden)

Krivokapić Boris

2016-01-01

Full Text Available In the first part of the paper, the author points out that, unlike in the past, in our time human rights developed into a fair legal institution, and even a special system. They are formulated and protected both internally and internationally. The second part deals with the approach according to which human rights are part of the so-called. natural law. The author notes that the theory of natural law can not be accepted for many reasons. It is pure construction, which is far from reality, and besides it is unnecessary. Law and thus human rights as a part of it, is a social creation, developing along with the society itself, whereby, in the longer term, advanced norms in the matter of human rights replace obsolete ones. Life and human needs are the ones who impose such development. In the third part the writer notes that since under human rights one can have in mind various things, at least such a special concept and, on the other hand, specific rights, it is not possible to give a single answer to what is the nature of human rights. It is even harder as human rights, have a variety of dimensions - legal, philosophical, ideological, political, economic, social, educational, etc. However, he gives his view of the main characteristics of the modern concept of human rights. In the fourth part, the author notes that, speaking not about the concept, but human rights as such, their main characteristics are that they are: 1 source - belong to anyone on the grounds that he is a human being (general rights or a member specific vulnerable groups (special rights; 2 universal - belong to everyone or all members of vulnerable groups, without any discrimination based on personal characteristics, and on the other hand, the most important such rights shall be recognized in all states; 3 inalienable - one can not give up or else share his basic human rights, such as the right to life, the right to vote, etc.; 4 somewhat different - although, in principle, all

Nature of Human Rights

Directory of Open Access Journals (Sweden)

Carlos López Dawson

2016-07-01

Full Text Available In the formation of a new Constitution the constituents will require to know or reach an agreement on the nature of human rights; then, to determine how the State will enforce the respect to those rights. To do so, it is necessary to resort to the history and evolution of these rights, and the present work aims to contribute to an efficient productive debate about the nature of human rights, so that citizens can decide on the understanding that this is a thoughtful democratic and humanistic founded decision. The analysis is in the actual technical-ideological republican system which correspond to the current state of international law

Learning Organic Chemistry Through Natural Products

Indian Academy of Sciences (India)

Home; Journals; Resonance – Journal of Science Education; Volume 1; Issue 10. Learning Organic Chemistry Through Natural Products Architectural Designs in Molecular Constructions. N R Krishnaswamy. Series Article Volume 1 Issue 10 October 1996 pp 37-43 ...

Learning Organic Chemistry Through Natural Products

Indian Academy of Sciences (India)

Home; Journals; Resonance – Journal of Science Education; Volume 1; Issue 7. Learning Organic Chemistry Through Natural engine Products - Structure and Biological Functions. N R Krishnaswamy. Series Article Volume 1 Issue 7 July 1996 pp 23-30 ...

Medicine as combining natural and human science.

Science.gov (United States)

Dreyfus, Hubert L

2011-08-01

Medicine is unique in being a combination of natural science and human science in which both are essential. Therefore, in order to make sense of medical practice, we need to begin by drawing a clear distinction between the natural and the human sciences. In this paper, I try to bring the old distinction between the Geistes and Naturwissenschaften up to date by defending the essential difference between a realist explanatory theoretical study of nature including the body in which the scientist discovers the causal properties of natural kinds and the interpretive understanding of human beings as embodied agents which, as Charles Taylor has convincingly argued, requires a hermeneutic account of self-interpreting human practices.

Deep Learning for Plant Identification in Natural Environment.

Science.gov (United States)

Sun, Yu; Liu, Yuan; Wang, Guan; Zhang, Haiyan

2017-01-01

Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental plant species in Beijing Forestry University campus. A 26-layer deep learning model consisting of 8 residual building blocks is designed for large-scale plant classification in natural environment. The proposed model achieves a recognition rate of 91.78% on the BJFU100 dataset, demonstrating that deep learning is a promising technology for smart forestry.

Deep Learning for Plant Identification in Natural Environment

Directory of Open Access Journals (Sweden)

Yu Sun

2017-01-01

Full Text Available Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental plant species in Beijing Forestry University campus. A 26-layer deep learning model consisting of 8 residual building blocks is designed for large-scale plant classification in natural environment. The proposed model achieves a recognition rate of 91.78% on the BJFU100 dataset, demonstrating that deep learning is a promising technology for smart forestry.

Cultivating human nature

NARCIS (Netherlands)

Derksen, Maarten

2007-01-01

Evolutionary psychology claims to offer a unified perspective on human nature and culture, which can serve to further the integration of psychology and the social sciences. I describe four approaches to evolutionary psychology, and note increasing attention to the agency of the individual in

Learning Organic Chemistry Through Natural Products

Indian Academy of Sciences (India)

Home; Journals; Resonance – Journal of Science Education; Volume 1; Issue 5. Learning Organic Chemistry Through Natural Products From Molecular and Electronic Structures to Reactivity. N R Krishnaswamy. Series Article Volume 1 Issue 5 May 1996 pp 12-18 ...

E-LEARNING FROM NATURE THROUGH E-LESSONS

Directory of Open Access Journals (Sweden)

Anca Cristina COLIBABA

2017-08-01

Full Text Available The article is a study based on the e-Learning from Nature project (2015-1-IT02-KA201-015133 funded by the European Commission. The project’s main objectives are centred on improving students’ low achievement and stimulating secondary school students’ interest in science subjects. The article focuses on scientific education and its challenges and suggests an innovative approach which connects science with nature. It examines one of the most important project outputs: the e-lessons (short video lessons created within the European partnership and the way they can contribute to increasing students’ motivation to learn science. Participant teachers’ testimonials have also been considered in the general evaluation of this project output.

A Business-Relevant View of Human Nature

OpenAIRE

Mitreanu, Cristian

2007-01-01

The article, "A Business-Relevant View of Human Nature," provides a new theory of human nature, and aims to bring it to the center of our understanding of business, or commerce, creating a strong foundation for new business and economic principles and practices. The article has three parts. In the first section, the author identifies and discusses the fundamental drives that characterize all forms of life. Building upon these findings, he then develops the unique view of human nature in the s...

Neurobiological approaches to a better understanding of human nature and human values

Directory of Open Access Journals (Sweden)

Gerald Hüther

2006-04-01

Full Text Available The most important finding made in the field of neurobiological research during the last decade is the discovery of the enormous experience-dependent plasticity of the human brain. The elaboration and stabilization of synaptic connectivity, and therefore, the complexity of neuronal networks in the higher brain centres depend to a far greater extent than previously believed on how – or rather, for which purpose – an individual uses his brain, the goals pursued, the experiences made in the course of his life, the models used for orientation, the values providing stability and eliciting a sense of commitment. The transmission and internalization of culture-specific abilities and of culture-specific values is achieved primarily during childhood by nonverbal communication (mirror neuron system, imitation learning as well as by implicit and explicit experiences (reward system, avoidance and reinforcement learning. Therefore the structural and functional organization of the human brain is crucially determined by social and cultural factors. Especially the frontal cortex with its highly complex neuronal networks involved in executive functions, evaluation an decision making must be conceptualized as a social, culturally shaped construct. The most important prerequisites for the transgenerational transmission of human values and their deep implementation into the higher frontocortical networks of the brains of subsequent generations are secure affectional relationships and a broad spectrum of different challenges. Only under such conditions, children are able to stabilize sufficiently complex networks and internal representations for metacognitive competences in their brains. This delicate process of experience-dependent organization of neuronal connectivity is seriously and often also persistently hampered or prematurely terminated by uncontrollable stress experiences. This danger ought be minimized by education programs aiming at the implementation

Accounting for individual differences in human associative learning

OpenAIRE

Byrom, Nicola C.

2013-01-01

Associative learning has provided fundamental insights to understanding psychopathology. However, psychopathology occurs along a continuum and as such, identification of disruptions in processes of associative learning associated with aspects of psychopathology illustrates a general flexibility in human associative learning. A handful of studies have looked specifically at individual differences in human associative learning, but while much work has concentrated on accounting for flexibility ...

Perceptual learning and human expertise.

Science.gov (United States)

Kellman, Philip J; Garrigan, Patrick

2009-06-01

We consider perceptual learning: experience-induced changes in the way perceivers extract information. Often neglected in scientific accounts of learning and in instruction, perceptual learning is a fundamental contributor to human expertise and is crucial in domains where humans show remarkable levels of attainment, such as language, chess, music, and mathematics. In Section 2, we give a brief history and discuss the relation of perceptual learning to other forms of learning. We consider in Section 3 several specific phenomena, illustrating the scope and characteristics of perceptual learning, including both discovery and fluency effects. We describe abstract perceptual learning, in which structural relationships are discovered and recognized in novel instances that do not share constituent elements or basic features. In Section 4, we consider primary concepts that have been used to explain and model perceptual learning, including receptive field change, selection, and relational recoding. In Section 5, we consider the scope of perceptual learning, contrasting recent research, focused on simple sensory discriminations, with earlier work that emphasized extraction of invariance from varied instances in more complex tasks. Contrary to some recent views, we argue that perceptual learning should not be confined to changes in early sensory analyzers. Phenomena at various levels, we suggest, can be unified by models that emphasize discovery and selection of relevant information. In a final section, we consider the potential role of perceptual learning in educational settings. Most instruction emphasizes facts and procedures that can be verbalized, whereas expertise depends heavily on implicit pattern recognition and selective extraction skills acquired through perceptual learning. We consider reasons why perceptual learning has not been systematically addressed in traditional instruction, and we describe recent successful efforts to create a technology of perceptual

Perceptual learning and human expertise

Science.gov (United States)

Kellman, Philip J.; Garrigan, Patrick

2009-06-01

We consider perceptual learning: experience-induced changes in the way perceivers extract information. Often neglected in scientific accounts of learning and in instruction, perceptual learning is a fundamental contributor to human expertise and is crucial in domains where humans show remarkable levels of attainment, such as language, chess, music, and mathematics. In Section 2, we give a brief history and discuss the relation of perceptual learning to other forms of learning. We consider in Section 3 several specific phenomena, illustrating the scope and characteristics of perceptual learning, including both discovery and fluency effects. We describe abstract perceptual learning, in which structural relationships are discovered and recognized in novel instances that do not share constituent elements or basic features. In Section 4, we consider primary concepts that have been used to explain and model perceptual learning, including receptive field change, selection, and relational recoding. In Section 5, we consider the scope of perceptual learning, contrasting recent research, focused on simple sensory discriminations, with earlier work that emphasized extraction of invariance from varied instances in more complex tasks. Contrary to some recent views, we argue that perceptual learning should not be confined to changes in early sensory analyzers. Phenomena at various levels, we suggest, can be unified by models that emphasize discovery and selection of relevant information. In a final section, we consider the potential role of perceptual learning in educational settings. Most instruction emphasizes facts and procedures that can be verbalized, whereas expertise depends heavily on implicit pattern recognition and selective extraction skills acquired through perceptual learning. We consider reasons why perceptual learning has not been systematically addressed in traditional instruction, and we describe recent successful efforts to create a technology of perceptual

Natural disasters and human mobility

NARCIS (Netherlands)

Mbaye, L.; Zimmermann, K.

2016-01-01

This paper reviews the effect of natural disasters on human mobility or migration. Although there is an increase of natural disasters and migration recently and more patterns to observe, the relationship remains complex. While some authors find that disasters increase migration, others show that

Learning to rank for information retrieval and natural language processing

CERN Document Server

Li, Hang

2014-01-01

Learning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on its problems recently, and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, major approaches, theories, applications, and future work.The author begins by showing that various ranking problems in information retrieval and natural language processing can be formalized as tw

Human economy and natural economy

Directory of Open Access Journals (Sweden)

Masullo Andrea

2014-03-01

Full Text Available The decline of economy is due to its dependency from a virtual value, the currency, the coin, that in the recent phase of consumerism is so far from real value: human capital and natural capital. If human economy wants to continue to produce wellbeing, it must accept to be a subset of natural economy, intercept flux of matter produced by its circular mechanisms, put constraints in it, i.e. machines and structures, to direct it temporarily for our advantage, and finally release it to the same original flux, in an still usable state. In this way it will assume a function no more parasitic but symbiotic. It will be connected to natural cycles without destroying it, recovering the co-evolutionary link between nature and culture, building an economic web suited to the ecological web; thus we will have a mosaic characterised by biodiversity, technological diversity, and cultural diversity, able to produce a durable prosperity.

Learning about the Nature of Science Using Algae

Science.gov (United States)

Edelmann, Hans G.; Martius, Thilo; Hahn, Achim; Schlüter, Kirsten; Nessler, Stefan H.

2016-01-01

Enquiry learning and teaching about the nature of science (NoS) is a key element of science education. We have designed an experimental setting for students aged 12-14 years to exercise enquiry-learning skills and to introduce students to the NoS aspects of creativity and imagination. It also illustrates the impact of carbon dioxide on the growth…

Natural Interaction Based Online Military Boxing Learning System

Science.gov (United States)

Yang, Chenglei; Wang, Lu; Sun, Bing; Yin, Xu; Wang, Xiaoting; Liu, Li; Lu, Lin

2013-01-01

Military boxing, a kind of Chinese martial arts, is widespread and health beneficial. In this paper, the authors introduce a military boxing learning system realized by 3D motion capture, Web3D and 3D interactive technologies. The interactions with the system are natural and intuitive. Users can observe and learn the details of each action of the…

Formation of Human Subjectivity in Psychological Interactions with Nature

Directory of Open Access Journals (Sweden)

S A Mudrak

2014-12-01

Full Text Available The article outlines the current trends in the environmental psychological research of the peculiarities of developing the subject-subjective human relationship with nature: considering human habitat environment as a set of natural objects; studying certain natural sites as psychologically attributive elements of the environment; determining the psychological meaning of the «Human Habitat Environment»; giving the analysis of the problem of the subjectivity development in human interaction with the natural objects.

Using human brain activity to guide machine learning.

Science.gov (United States)

Fong, Ruth C; Scheirer, Walter J; Cox, David D

2018-03-29

Machine learning is a field of computer science that builds algorithms that learn. In many cases, machine learning algorithms are used to recreate a human ability like adding a caption to a photo, driving a car, or playing a game. While the human brain has long served as a source of inspiration for machine learning, little effort has been made to directly use data collected from working brains as a guide for machine learning algorithms. Here we demonstrate a new paradigm of "neurally-weighted" machine learning, which takes fMRI measurements of human brain activity from subjects viewing images, and infuses these data into the training process of an object recognition learning algorithm to make it more consistent with the human brain. After training, these neurally-weighted classifiers are able to classify images without requiring any additional neural data. We show that our neural-weighting approach can lead to large performance gains when used with traditional machine vision features, as well as to significant improvements with already high-performing convolutional neural network features. The effectiveness of this approach points to a path forward for a new class of hybrid machine learning algorithms which take both inspiration and direct constraints from neuronal data.

[Human nature and the enhancement of human beings in the light of the transhumanist program].

Science.gov (United States)

Goffi, Jean-Yves

2011-01-01

There are three main approaches about the question of Human Nature. essentialists consider that there exists a permanent Human Nature, shared by every human being. Existentialists consider that there is no such thing as human nature, but inescapable modes of being in the world. A moderate approach would consider that Human Nature can be modified within the limits of anthropological invariants. Transhumanists are conservative in that they think that there is a Human Nature; but they are radical in that they believe that it can (and must) be transcended by bio-technnologies and computer technologies. This project is evaluated as a caricature of suitable human enhancement.

A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition

Directory of Open Access Journals (Sweden)

Allah Bux Sargano

2017-01-01

Full Text Available Human activity recognition (HAR is an important research area in the fields of human perception and computer vision due to its wide range of applications. These applications include: intelligent video surveillance, ambient assisted living, human computer interaction, human-robot interaction, entertainment, and intelligent driving. Recently, with the emergence and successful deployment of deep learning techniques for image classification, researchers have migrated from traditional handcrafting to deep learning techniques for HAR. However, handcrafted representation-based approaches are still widely used due to some bottlenecks such as computational complexity of deep learning techniques for activity recognition. However, approaches based on handcrafted representation are not able to handle complex scenarios due to their limitations and incapability; therefore, resorting to deep learning-based techniques is a natural option. This review paper presents a comprehensive survey of both handcrafted and learning-based action representations, offering comparison, analysis, and discussions on these approaches. In addition to this, the well-known public datasets available for experimentations and important applications of HAR are also presented to provide further insight into the field. This is the first review paper of its kind which presents all these aspects of HAR in a single review article with comprehensive coverage of each part. Finally, the paper is concluded with important discussions and research directions in the domain of HAR.

The nature of human aggression.

Science.gov (United States)

Archer, John

2009-01-01

Human aggression is viewed from four explanatory perspectives, derived from the ethological tradition. The first consists of its adaptive value, which can be seen throughout the animal kingdom, involving resource competition and protection of the self and offspring, which has been viewed from a cost-benefit perspective. The second concerns the phylogenetic origin of aggression, which in humans involves brain mechanisms that are associated with anger and inhibition, the emotional expression of anger, and how aggressive actions are manifest. The third concerns the origin of aggression in development and its subsequent modification through experience. An evolutionary approach to development yields conclusions that are contrary to the influential social learning perspective, notably that physical aggression occurs early in life, and its subsequent development is characterized by learned inhibition. The fourth explanation concerns the motivational mechanisms controlling aggression: approached from an evolutionary background, these mechanisms range from the inflexible reflex-like responses to those incorporating rational decision-making.

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction

Science.gov (United States)

de Greeff, Joachim; Belpaeme, Tony

2015-01-01

Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ecology and the human propensity for both learning and tutoring. Social learning has the potential to be an equally potent learning strategy for artificial systems and robots in specific. However, given the complexity and unstructured nature of social learning, implementing social machine learning proves to be a challenging problem. We study one particular aspect of social machine learning: that of offering social cues during the learning interaction. Specifically, we study whether people are sensitive to social cues offered by a learning robot, in a similar way to children’s social bids for tutoring. We use a child-like social robot and a task in which the robot has to learn the meaning of words. For this a simple turn-based interaction is used, based on language games. Two conditions are tested: one in which the robot uses social means to invite a human teacher to provide information based on what the robot requires to fill gaps in its knowledge (i.e. expression of a learning preference); the other in which the robot does not provide social cues to communicate a learning preference. We observe that conveying a learning preference through the use of social cues results in better and faster learning by the robot. People also seem to form a “mental model” of the robot, tailoring the tutoring to the robot’s performance as opposed to using simply random teaching. In addition, the social learning shows a clear gender effect with female participants being responsive to the robot’s bids, while male teachers appear to be less receptive. This work shows how additional social cues in social machine learning can result in people offering better quality learning input to artificial systems, resulting in improved learning performance. PMID:26422143

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction.

Science.gov (United States)

de Greeff, Joachim; Belpaeme, Tony

2015-01-01

Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ecology and the human propensity for both learning and tutoring. Social learning has the potential to be an equally potent learning strategy for artificial systems and robots in specific. However, given the complexity and unstructured nature of social learning, implementing social machine learning proves to be a challenging problem. We study one particular aspect of social machine learning: that of offering social cues during the learning interaction. Specifically, we study whether people are sensitive to social cues offered by a learning robot, in a similar way to children's social bids for tutoring. We use a child-like social robot and a task in which the robot has to learn the meaning of words. For this a simple turn-based interaction is used, based on language games. Two conditions are tested: one in which the robot uses social means to invite a human teacher to provide information based on what the robot requires to fill gaps in its knowledge (i.e. expression of a learning preference); the other in which the robot does not provide social cues to communicate a learning preference. We observe that conveying a learning preference through the use of social cues results in better and faster learning by the robot. People also seem to form a "mental model" of the robot, tailoring the tutoring to the robot's performance as opposed to using simply random teaching. In addition, the social learning shows a clear gender effect with female participants being responsive to the robot's bids, while male teachers appear to be less receptive. This work shows how additional social cues in social machine learning can result in people offering better quality learning input to artificial systems, resulting in improved learning performance.

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction.

Directory of Open Access Journals (Sweden)

Joachim de Greeff

Full Text Available Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ecology and the human propensity for both learning and tutoring. Social learning has the potential to be an equally potent learning strategy for artificial systems and robots in specific. However, given the complexity and unstructured nature of social learning, implementing social machine learning proves to be a challenging problem. We study one particular aspect of social machine learning: that of offering social cues during the learning interaction. Specifically, we study whether people are sensitive to social cues offered by a learning robot, in a similar way to children's social bids for tutoring. We use a child-like social robot and a task in which the robot has to learn the meaning of words. For this a simple turn-based interaction is used, based on language games. Two conditions are tested: one in which the robot uses social means to invite a human teacher to provide information based on what the robot requires to fill gaps in its knowledge (i.e. expression of a learning preference; the other in which the robot does not provide social cues to communicate a learning preference. We observe that conveying a learning preference through the use of social cues results in better and faster learning by the robot. People also seem to form a "mental model" of the robot, tailoring the tutoring to the robot's performance as opposed to using simply random teaching. In addition, the social learning shows a clear gender effect with female participants being responsive to the robot's bids, while male teachers appear to be less receptive. This work shows how additional social cues in social machine learning can result in people offering better quality learning input to artificial systems, resulting in improved learning performance.

Nature as an inspiration and a context for learning and teaching

Directory of Open Access Journals (Sweden)

Anđelković Slađana

2014-01-01

Full Text Available This paper is a position of contextual and holistic approach, and on the principles of constructivist theory examines the role of natural resources in the teaching and learning process. In the center of interest by the possibility of establishing a partnership relationship with nature in the process of teaching and learning, where nature appears as an asset, source and target classes. The aim is to get through the display and analysis of theoretical approaches to nature as a context for learning and teaching perceive from the perspective of affirmation contextual, holistic, active, investigative approach to teaching. This will promote new teaching strategies in order to change the classical approach to teaching and learning process and open up new opportunities to increase the share of after-school space in order to create teaching situations. Results of the analysis of theoretical starting points in particular knowledge of the value of contextual and holistic learning, achieving partnership with nature, in favor of modern theories in which it promotes active student positions close to reality in the process of construction of knowledge systems. [Projekat Ministarstva nauke Republike Srbije, br. 179060: Models of assessment and strategies of upgrading the quality of education in Serbia and br. 179074: Tradition, modernization and national identity in Serbia and the Balkans in the process of European integrations

Motion Learning Based on Bayesian Program Learning

Directory of Open Access Journals (Sweden)

Cheng Meng-Zhen

2017-01-01

Full Text Available The concept of virtual human has been highly anticipated since the 1980s. By using computer technology, Human motion simulation could generate authentic visual effect, which could cheat human eyes visually. Bayesian Program Learning train one or few motion data, generate new motion data by decomposing and combining. And the generated motion will be more realistic and natural than the traditional one.In this paper, Motion learning based on Bayesian program learning allows us to quickly generate new motion data, reduce workload, improve work efficiency, reduce the cost of motion capture, and improve the reusability of data.

Learning Analytics for Natural User Interfaces

Science.gov (United States)

Martinez-Maldonado, Roberto; Shum, Simon Buckingham; Schneider, Bertrand; Charleer, Sven; Klerkx, Joris; Duval, Erik

2017-01-01

The continuous advancement of natural user interfaces (NUIs) allows for the development\tof novel and creative ways to support collocated collaborative work in a wide range of areas, including teaching and learning. The use of NUIs, such as those based on interactive multi-touch surfaces and tangible user interfaces (TUIs), can offer unique…

Bayesian network learning for natural hazard assessments

Science.gov (United States)

Vogel, Kristin

2016-04-01

Even though quite different in occurrence and consequences, from a modelling perspective many natural hazards share similar properties and challenges. Their complex nature as well as lacking knowledge about their driving forces and potential effects make their analysis demanding. On top of the uncertainty about the modelling framework, inaccurate or incomplete event observations and the intrinsic randomness of the natural phenomenon add up to different interacting layers of uncertainty, which require a careful handling. Thus, for reliable natural hazard assessments it is crucial not only to capture and quantify involved uncertainties, but also to express and communicate uncertainties in an intuitive way. Decision-makers, who often find it difficult to deal with uncertainties, might otherwise return to familiar (mostly deterministic) proceedings. In the scope of the DFG research training group „NatRiskChange" we apply the probabilistic framework of Bayesian networks for diverse natural hazard and vulnerability studies. The great potential of Bayesian networks was already shown in previous natural hazard assessments. Treating each model component as random variable, Bayesian networks aim at capturing the joint distribution of all considered variables. Hence, each conditional distribution of interest (e.g. the effect of precautionary measures on damage reduction) can be inferred. The (in-)dependencies between the considered variables can be learned purely data driven or be given by experts. Even a combination of both is possible. By translating the (in-)dependences into a graph structure, Bayesian networks provide direct insights into the workings of the system and allow to learn about the underlying processes. Besides numerous studies on the topic, learning Bayesian networks from real-world data remains challenging. In previous studies, e.g. on earthquake induced ground motion and flood damage assessments, we tackled the problems arising with continuous variables

A natural human hand model

NARCIS (Netherlands)

Van Nierop, O.A.; Van der Helm, A.; Overbeeke, K.J.; Djajadiningrat, T.J.P.

2007-01-01

We present a skeletal linked model of the human hand that has natural motion. We show how this can be achieved by introducing a new biology-based joint axis that simulates natural joint motion and a set of constraints that reduce an estimated 150 possible motions to twelve. The model is based on

Enhanced learning of natural visual sequences in newborn chicks.

Science.gov (United States)

Wood, Justin N; Prasad, Aditya; Goldman, Jason G; Wood, Samantha M W

2016-07-01

To what extent are newborn brains designed to operate over natural visual input? To address this question, we used a high-throughput controlled-rearing method to examine whether newborn chicks (Gallus gallus) show enhanced learning of natural visual sequences at the onset of vision. We took the same set of images and grouped them into either natural sequences (i.e., sequences showing different viewpoints of the same real-world object) or unnatural sequences (i.e., sequences showing different images of different real-world objects). When raised in virtual worlds containing natural sequences, newborn chicks developed the ability to recognize familiar images of objects. Conversely, when raised in virtual worlds containing unnatural sequences, newborn chicks' object recognition abilities were severely impaired. In fact, the majority of the chicks raised with the unnatural sequences failed to recognize familiar images of objects despite acquiring over 100 h of visual experience with those images. Thus, newborn chicks show enhanced learning of natural visual sequences at the onset of vision. These results indicate that newborn brains are designed to operate over natural visual input.

A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language.

Directory of Open Access Journals (Sweden)

Bruno Golosio

Full Text Available Communicative interactions involve a kind of procedural knowledge that is used by the human brain for processing verbal and nonverbal inputs and for language production. Although considerable work has been done on modeling human language abilities, it has been difficult to bring them together to a comprehensive tabula rasa system compatible with current knowledge of how verbal information is processed in the brain. This work presents a cognitive system, entirely based on a large-scale neural architecture, which was developed to shed light on the procedural knowledge involved in language elaboration. The main component of this system is the central executive, which is a supervising system that coordinates the other components of the working memory. In our model, the central executive is a neural network that takes as input the neural activation states of the short-term memory and yields as output mental actions, which control the flow of information among the working memory components through neural gating mechanisms. The proposed system is capable of learning to communicate through natural language starting from tabula rasa, without any a priori knowledge of the structure of phrases, meaning of words, role of the different classes of words, only by interacting with a human through a text-based interface, using an open-ended incremental learning process. It is able to learn nouns, verbs, adjectives, pronouns and other word classes, and to use them in expressive language. The model was validated on a corpus of 1587 input sentences, based on literature on early language assessment, at the level of about 4-years old child, and produced 521 output sentences, expressing a broad range of language processing functionalities.

Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory.

Science.gov (United States)

Collins, Anne G E; Frank, Michael J

2018-03-06

Learning from rewards and punishments is essential to survival and facilitates flexible human behavior. It is widely appreciated that multiple cognitive and reinforcement learning systems contribute to decision-making, but the nature of their interactions is elusive. Here, we leverage methods for extracting trial-by-trial indices of reinforcement learning (RL) and working memory (WM) in human electro-encephalography to reveal single-trial computations beyond that afforded by behavior alone. Neural dynamics confirmed that increases in neural expectation were predictive of reduced neural surprise in the following feedback period, supporting central tenets of RL models. Within- and cross-trial dynamics revealed a cooperative interplay between systems for learning, in which WM contributes expectations to guide RL, despite competition between systems during choice. Together, these results provide a deeper understanding of how multiple neural systems interact for learning and decision-making and facilitate analysis of their disruption in clinical populations.

The historical character of human nature in Freud's theories.

Science.gov (United States)

Zilbersheid, Uri

2013-06-01

In Freud' theories of human development, human nature is described and analyzed as essentially historical. At the core of human history is the restructuring of the sexual instinct and the death instinct (or its unique form as destructive impulses). The conscious, asked-for shaping of these two instincts, under the rule of the "reality principle", forms the basis of human society at all stages. This conscious restructuring has also unintended, unasked-for results, which are part of the historically developing human nature. The historical choice has been the building of human society as a social complex based on the de-eroticization of both the individual and society. Freud suggested that the historical process of changing human nature and maintaining the achieved new structure has mainly been an enterprise of enlightened political elite, which has imposed (in all societies) the various elements of the new nature upon the ordinary people. Human history is essentially a deed of the political sphere. In viewing human nature as consisting of both asked-for and unasked-for results of human conscious purposeful activity Freud belongs to the same historical school as Marx.

Conceptual Change in Understanding the Nature of Science Learning: An Interpretive Phenomenological Analysis

Science.gov (United States)

DiBenedetto, Christina M.

This study is the first of its kind to explore the thoughts, beliefs, attitudes and values of secondary educators as they experience conceptual change in their understanding of the nature of science learning vis a vis the Framework for K-12 Science Education published by the National Research Council. The study takes aim at the existing gap between the vision for science learning as an active process of inquiry and current pedagogical practices in K-12 science classrooms. For students to understand and explain everyday science ideas and succeed in science studies and careers, the means by which they learn science must change. Focusing on this change, the study explores the significance of educator attitudes, beliefs and values to science learning through interpretive phenomenological analysis around the central question, "In what ways do educators understand and articulate attitudes and beliefs toward the nature of science learning?" The study further explores the questions, "How do educators experience changes in their understanding of the nature of science learning?" and "How do educators believe these changes influence their pedagogical practice?" Study findings converge on four conceptions that science learning: is the action of inquiry; is a visible process initiated by both teacher and learner; values student voice and changing conceptions is science learning. These findings have implications for the primacy of educator beliefs, attitudes and values in reform efforts, science teacher leadership and the explicit instruction of both Nature of Science and conceptual change in educator preparation programs. This study supports the understanding that the nature of science learning is cognitive and affective conceptual change. Keywords: conceptual change, educator attitudes and beliefs, framework for K-12 science education, interpretive phenomenological analysis, nature of science learning, next generation science standards, science professional development

Essential Building Blocks of Human Nature

CERN Document Server

Frey, Ulrich J; Willführ, Kai P

2011-01-01

To understand why we humans are as we are, it is necessary to look at the essential building blocks that comprise our nature. The foundations of this structure are our evolutionary origins as primates and our social roots. Upon these rest features such as our emotions, language and aesthetic preferences, with our self-perceptions, self-deceptions and thirst for knowledge right at the top. The unifying force holding these blocks together is evolutionary theory. Evolution provides a deeper understanding of human nature and, in particular, of the common roots of these different perspectives. To build a reliable and coherent model of man, leading authors from fields as diverse as primatology, anthropology, neurobiology and philosophy have joined forces to present essays  each describing their own expert perspective. Together they provide a convincing and complete picture of our own human nature.

Revisiting Nature vs. Nurture: Implications for the Teaching/Learning Process.

Science.gov (United States)

French, Fred

2003-01-01

Child development theories conclude that nature and nurture interactively shape individual development. Implications for education are that children learn better when they feel wanted and are in a supportive environment. Teaching needs to go beyond pure content and focus on learning how to learn. Assessment should focus on the use of knowledge…

Statistical learning in a natural language by 8-month-old infants.

Science.gov (United States)

Pelucchi, Bruna; Hay, Jessica F; Saffran, Jenny R

2009-01-01

Numerous studies over the past decade support the claim that infants are equipped with powerful statistical language learning mechanisms. The primary evidence for statistical language learning in word segmentation comes from studies using artificial languages, continuous streams of synthesized syllables that are highly simplified relative to real speech. To what extent can these conclusions be scaled up to natural language learning? In the current experiments, English-learning 8-month-old infants' ability to track transitional probabilities in fluent infant-directed Italian speech was tested (N = 72). The results suggest that infants are sensitive to transitional probability cues in unfamiliar natural language stimuli, and support the claim that statistical learning is sufficiently robust to support aspects of real-world language acquisition.

Learning to Identify Local Flora with Human Feedback (Author’s Manuscript)

Science.gov (United States)

2014-06-23

cally tag images with species names of flora or fauna to sup- port content-based retrieval [10]. Detecting and identifying species could help to infer...Learning to Identify Local Flora with Human Feedback Stefan Lee and David Crandall School of Informatics and Computing Indiana University {steflee...applications that use consumer pho- tos to track the distribution of natural phenomena [8]. But flora identification is a very difficult problem, both

Developing a Mobile Learning Management System for Outdoors Nature Science Activities Based on 5E Learning Cycle

Science.gov (United States)

Lai, Ah-Fur; Lai, Horng-Yih; Chuang, Wei-Hsiang; Wu, Zih-Heng

2015-01-01

Traditional outdoor learning activities such as inquiry-based learning in nature science encounter many dilemmas. Due to prompt development of mobile computing and widespread of mobile devices, mobile learning becomes a big trend on education. The main purpose of this study is to develop a mobile-learning management system for overcoming the…

Do neural nets learn statistical laws behind natural language?

Directory of Open Access Journals (Sweden)

Shuntaro Takahashi

Full Text Available The performance of deep learning in natural language processing has been spectacular, but the reasons for this success remain unclear because of the inherent complexity of deep learning. This paper provides empirical evidence of its effectiveness and of a limitation of neural networks for language engineering. Precisely, we demonstrate that a neural language model based on long short-term memory (LSTM effectively reproduces Zipf's law and Heaps' law, two representative statistical properties underlying natural language. We discuss the quality of reproducibility and the emergence of Zipf's law and Heaps' law as training progresses. We also point out that the neural language model has a limitation in reproducing long-range correlation, another statistical property of natural language. This understanding could provide a direction for improving the architectures of neural networks.

"Human Nature": Chemical Engineering Students' Ideas about Human Relationships with the Natural World

Science.gov (United States)

Goldman, Daphne; Assaraf, Orit Ben-Zvi; Shemesh, Julia

2014-01-01

While importance of environmental ethics, as a component of sustainable development, in preparing engineers is widely acknowledged, little research has addressed chemical engineers' environmental concerns. This study aimed to address this void by exploring chemical engineering students' values regarding human-nature relationships. The study was…

The 'Disadapted' Animal: Niko Tinbergen on Human Nature and the Human Predicament.

Science.gov (United States)

Vicedo, Marga

2018-06-01

This paper explores ethologist Niko Tinbergen's path from animal to human studies in the 1960s and 1970s and his views about human nature. It argues, first, that the confluence of several factors explains why Tinbergen decided to cross the animal/human divide in the mid 1960s: his concern about what he called "the human predicament," his relations with British child psychiatrist John Bowlby, the success of ethological explanations of human behavior, and his professional and personal situation. It also argues that Tinbergen transferred his general adaptationist view of animal behavior to the realm of human biology; here, his concern about disadaptation led him to a view of human behavior that was strongly determined by the species' evolutionary past, a position that I call evolutionary determinism. These ideas can be seen in the work he carried out with his wife, Elisabeth Tinbergen, on autism. The paper concludes that Tinbergen's vision of human nature constitutes another version of what anthropologist Clifford Geertz called in 1966 the "stratigraphic" conception of the human: a view of human nature as a composite of levels in which a universal ancestral biological core is superimposed by psychological and cultural layers that represent accidental variation at best and pathological deviation at worst.

The human right to sustainable development in solidarity with Nature

Directory of Open Access Journals (Sweden)

Anya Teresa Parrilla Díaz

2017-06-01

Full Text Available This article addresses the issue of human development as a universal right subjected to the welfare of Nature. Nature is presented as supporter of life and supplier of the essential resources needed to achieve a complete human development. In light of the global ecological crisis, the author proposes sustainable development as the central framework for a new human development that can be fairer to Nature and to mankind. The challenge of sustainable human development consists in viewing Nature from an ethical perspective of human rights and solidarity.

Learning-dependent plasticity with and without training in the human brain.

Science.gov (United States)

Zhang, Jiaxiang; Kourtzi, Zoe

2010-07-27

Long-term experience through development and evolution and shorter-term training in adulthood have both been suggested to contribute to the optimization of visual functions that mediate our ability to interpret complex scenes. However, the brain plasticity mechanisms that mediate the detection of objects in cluttered scenes remain largely unknown. Here, we combine behavioral and functional MRI (fMRI) measurements to investigate the human-brain mechanisms that mediate our ability to learn statistical regularities and detect targets in clutter. We show two different routes to visual learning in clutter with discrete brain plasticity signatures. Specifically, opportunistic learning of regularities typical in natural contours (i.e., collinearity) can occur simply through frequent exposure, generalize across untrained stimulus features, and shape processing in occipitotemporal regions implicated in the representation of global forms. In contrast, learning to integrate discontinuities (i.e., elements orthogonal to contour paths) requires task-specific training (bootstrap-based learning), is stimulus-dependent, and enhances processing in intraparietal regions implicated in attention-gated learning. We propose that long-term experience with statistical regularities may facilitate opportunistic learning of collinear contours, whereas learning to integrate discontinuities entails bootstrap-based training for the detection of contours in clutter. These findings provide insights in understanding how long-term experience and short-term training interact to shape the optimization of visual recognition processes.

How do medium naturalness and personality traits shape academic achievement and perceived learning? An experimental study of face-to-face and synchronous e-learning

Directory of Open Access Journals (Sweden)

Ina Blau

2017-07-01

Full Text Available This controlled experiment examined how academic achievement and cognitive, emotional and social aspects of perceived learning are affected by the level of medium naturalness (face-to-face, one-way and two-way videoconferencing and by learners’ personality traits (extroversion–introversion and emotional stability–neuroticism. The Media Naturalness Theory explains the degree of medium naturalness by comparing its characteristics to face-to-face communication, considered to be the most natural form of communication. A total of 76 participants were randomly assigned to three experimental conditions: face-to-face, one-way and two-way videoconferencing. E-learning conditions were conducted through Zoom videoconferencing, which enables natural and spontaneous communication. Findings shed light on the trade-off involved in media naturalness: one-way videoconferencing, the less natural learning condition, enhanced the cognitive aspect of perceived learning but compromised the emotional and social aspects. Regarding the impact of personality, neurotic students tended to enjoy and succeed more in face-to-face learning, whereas emotionally stable students enjoyed and succeeded in all of the learning conditions. Extroverts tended to enjoy more natural learning environments but had lower achievements in these conditions. In accordance with the ‘poor get richer’ principle, introverts enjoyed environments with a low level of medium naturalness. However, they remained focused and had higher achievements in the face-to-face learning.

Biomimicry : "Learning from nature for sustainable solutions"

NARCIS (Netherlands)

Gallo, M.

There is more to be learned from nature as a whole. In practice ‘nature’ is often used in teaching, training, consultancy and organisational development as a metaphor, as a source of inspiration or as an example for all kinds of processes, including leadership, cooperation, relationships and the

Collaborative Learning in Practice: Examples from Natural Resource ...

International Development Research Centre (IDRC) Digital Library (Canada)

2010-12-01

Dec 1, 2010 ... Case studies show how, through joint efforts with researchers and other actors, local ... address and learn from challenges in managing natural resources. ... health, and health systems research relevant to the emerging crisis.

Human Spaceflight Conjunction Assessment: Lessons Learned

Science.gov (United States)

Smith, Jason T.

2011-01-01

This viewgraph presentation reviews the process of a human space flight conjunction assessment and lessons learned from the more than twelve years of International Space Station (ISS) operations. Also, the application of these lessons learned to a recent ISS conjunction assessment with object 84180 on July 16, 2009 is also presented.

ROBOT LEARNING OF OBJECT MANIPULATION TASK ACTIONS FROM HUMAN DEMONSTRATIONS

Directory of Open Access Journals (Sweden)

Maria Kyrarini

2017-08-01

Full Text Available Robot learning from demonstration is a method which enables robots to learn in a similar way as humans. In this paper, a framework that enables robots to learn from multiple human demonstrations via kinesthetic teaching is presented. The subject of learning is a high-level sequence of actions, as well as the low-level trajectories necessary to be followed by the robot to perform the object manipulation task. The multiple human demonstrations are recorded and only the most similar demonstrations are selected for robot learning. The high-level learning module identifies the sequence of actions of the demonstrated task. Using Dynamic Time Warping (DTW and Gaussian Mixture Model (GMM, the model of demonstrated trajectories is learned. The learned trajectory is generated by Gaussian mixture regression (GMR from the learned Gaussian mixture model.  In online working phase, the sequence of actions is identified and experimental results show that the robot performs the learned task successfully.

Rousseau’s View of Human Nature and Values Education

OpenAIRE

TÜFENKÇİ, Semra; ÇETİN, Mustafa

2017-01-01

Rousseau considers human nature and everything arising from this nature as good as theiroriginal instances. Therefore, education should reveal the positive emotions in human nature,rather than to sculpt them. Rousseau’s thoughts in Emile, have been a great influence on theeducators, especially on the values education approaches of modern education. In this article,we examine Rousseau’s negative education approach which acknowledges that human natureis merely good; and the importance of negati...

Measuring Social Learning in Participatory Approaches to Natural Resource Management

NARCIS (Netherlands)

Wal, van der M.M.; Kraker, de J.; Offermans, A.; Kroeze, C.; Kirschner, P.; Ittersum, van M.K.

2014-01-01

The role of social learning as a governance mechanism in natural resource management has been frequently highlighted, but progress in finding evidence for this role and gaining insight into the conditions that promote it are hampered by the lack of operational definitions of social learning and

Measuring social learning in participatory approaches to natural resource management.

NARCIS (Netherlands)

Van der Wal, Merel; De Kraker, Joop; Offermans, Astrid; Kroeze, Carolien; Kirschner, Paul A.; Van Ittersum, Martin

2018-01-01

The role of social learning as a governance mechanism in natural resource management has been frequently highlighted, but progress in finding evidence for this role and gaining insight into the conditions that promote it are hampered by the lack of operational definitions of social learning and

Dissociable Learning Processes Underlie Human Pain Conditioning.

Science.gov (United States)

Zhang, Suyi; Mano, Hiroaki; Ganesh, Gowrishankar; Robbins, Trevor; Seymour, Ben

2016-01-11

Pavlovian conditioning underlies many aspects of pain behavior, including fear and threat detection [1], escape and avoidance learning [2], and endogenous analgesia [3]. Although a central role for the amygdala is well established [4], both human and animal studies implicate other brain regions in learning, notably ventral striatum and cerebellum [5]. It remains unclear whether these regions make different contributions to a single aversive learning process or represent independent learning mechanisms that interact to generate the expression of pain-related behavior. We designed a human parallel aversive conditioning paradigm in which different Pavlovian visual cues probabilistically predicted thermal pain primarily to either the left or right arm and studied the acquisition of conditioned Pavlovian responses using combined physiological recordings and fMRI. Using computational modeling based on reinforcement learning theory, we found that conditioning involves two distinct types of learning process. First, a non-specific "preparatory" system learns aversive facial expressions and autonomic responses such as skin conductance. The associated learning signals-the learned associability and prediction error-were correlated with fMRI brain responses in amygdala-striatal regions, corresponding to the classic aversive (fear) learning circuit. Second, a specific lateralized system learns "consummatory" limb-withdrawal responses, detectable with electromyography of the arm to which pain is predicted. Its related learned associability was correlated with responses in ipsilateral cerebellar cortex, suggesting a novel computational role for the cerebellum in pain. In conclusion, our results show that the overall phenotype of conditioned pain behavior depends on two dissociable reinforcement learning circuits. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Learning Organic Chemistry Through Natural Products -12 ...

Indian Academy of Sciences (India)

Higher Learning. Generations of students would vouch for the fact that he has the uncanny ability to present the chemistry of natural products logically and with feeling. The most interesting chemical aspect of a molecule is its. reactivHy pattern. NR Krishnaswamy. In this part of the series, dynamic organic chemistry and.

Humanism and nature – some reflections on a complex relationship

Directory of Open Access Journals (Sweden)

Jörn Rüsen

2006-04-01

Full Text Available The paper starts with a systematical analysis of the interrelationship of humanism and nature. It proceeds to a historical reconstruction of this relationship in the development of Western humanism from ancient Rome via Renaissance till the Enlightenment of the 18th century. In both respects the result of the analysis is the same: The Western tradition of humanism is characterised by a gap between an emphasis on the cultural quality of human life on the one hand and nature on the other one. Men are entitled to dominate and govern nature and use it for their purpose. This fits into an idea of a progressing destructive relationship between man and nature in the West. On the other the tradition of humanism has put the gap between man and nature into a harmonising cosmological or theological context. In this context a simple destructive relationship between man and nature is not possible. The humanism of today has to pick up the challenge of the ecological crisis and to refer to its tradition where man and nature are mediated into a meaningful and sense-bearing interrelationship. Instead of simply referring to the traditional cosmology a convincing idea of this mediation or even synthesis can only be made plausible by referring to the already pre-given synthesis between nature and culture, the human body.

Human Nature and its Implications for the Legal System | Obioha ...

African Journals Online (AJOL)

This paper examines the implications the various conceptions of human nature hold for the legal system. No doubt, there are various and conflicting theories of human nature such that the concept of human nature seems to have remained elusive and pervasive. Some conceive man as nothing but matter pure and simple; ...

Human reinforcement learning subdivides structured action spaces by learning effector-specific values.

Science.gov (United States)

Gershman, Samuel J; Pesaran, Bijan; Daw, Nathaniel D

2009-10-28

Humans and animals are endowed with a large number of effectors. Although this enables great behavioral flexibility, it presents an equally formidable reinforcement learning problem of discovering which actions are most valuable because of the high dimensionality of the action space. An unresolved question is how neural systems for reinforcement learning-such as prediction error signals for action valuation associated with dopamine and the striatum-can cope with this "curse of dimensionality." We propose a reinforcement learning framework that allows for learned action valuations to be decomposed into effector-specific components when appropriate to a task, and test it by studying to what extent human behavior and blood oxygen level-dependent (BOLD) activity can exploit such a decomposition in a multieffector choice task. Subjects made simultaneous decisions with their left and right hands and received separate reward feedback for each hand movement. We found that choice behavior was better described by a learning model that decomposed the values of bimanual movements into separate values for each effector, rather than a traditional model that treated the bimanual actions as unitary with a single value. A decomposition of value into effector-specific components was also observed in value-related BOLD signaling, in the form of lateralized biases in striatal correlates of prediction error and anticipatory value correlates in the intraparietal sulcus. These results suggest that the human brain can use decomposed value representations to "divide and conquer" reinforcement learning over high-dimensional action spaces.

Understanding Collective Learning and Human Agency in Diverse ...

African Journals Online (AJOL)

2018-05-07

May 7, 2018 ... knowledge about the type of learning that creates such change, how such learning emerges, or how it ... social inequalities and damaged people–nature relations. The Think ..... interpersonal relationality and more. The Think ...

Are Humans Still Evolving? A Natural Selection Discussion Lesson

Science.gov (United States)

Shields, Martin

2004-01-01

A study is conducted to develop sound comprehension of natural selection theory by prompting students to use its concept to explain the evolutionary status of humans. In relation to the current existence of human it is stated that human populations currently undergo microevolutionary changes in allele frequencies due to natural selection and other…

Human Nature in the Adaptation of Trust

OpenAIRE

Nooteboom, B.

2006-01-01

This chapter pleads for more inspiration from human nature, in agent-based modeling.As an illustration of an effort in that direction, it summarizes and discusses an agentbased model of the build-up and adaptation of trust between multiple producers and suppliers.The central question is whether, and under what conditions, trust and loyalty are viable in markets.While the model incorporates some well known behavioural phenomena from the trust literature, more extended modeling of human nature ...

Nature vs Nurture: Effects of Learning on Evolution

Science.gov (United States)

Nagrani, Nagina

In the field of Evolutionary Robotics, the design, development and application of artificial neural networks as controllers have derived their inspiration from biology. Biologists and artificial intelligence researchers are trying to understand the effects of neural network learning during the lifetime of the individuals on evolution of these individuals by qualitative and quantitative analyses. The conclusion of these analyses can help develop optimized artificial neural networks to perform any given task. The purpose of this thesis is to study the effects of learning on evolution. This has been done by applying Temporal Difference Reinforcement Learning methods to the evolution of Artificial Neural Tissue controller. The controller has been assigned the task to collect resources in a designated area in a simulated environment. The performance of the individuals is measured by the amount of resources collected. A comparison has been made between the results obtained by incorporating learning in evolution and evolution alone. The effects of learning parameters: learning rate, training period, discount rate, and policy on evolution have also been studied. It was observed that learning delays the performance of the evolving individuals over the generations. However, the non zero learning rate throughout the evolution process signifies natural selection preferring individuals possessing plasticity.

A machine learning model with human cognitive biases capable of learning from small and biased datasets.

Science.gov (United States)

Taniguchi, Hidetaka; Sato, Hiroshi; Shirakawa, Tomohiro

2018-05-09

Human learners can generalize a new concept from a small number of samples. In contrast, conventional machine learning methods require large amounts of data to address the same types of problems. Humans have cognitive biases that promote fast learning. Here, we developed a method to reduce the gap between human beings and machines in this type of inference by utilizing cognitive biases. We implemented a human cognitive model into machine learning algorithms and compared their performance with the currently most popular methods, naïve Bayes, support vector machine, neural networks, logistic regression and random forests. We focused on the task of spam classification, which has been studied for a long time in the field of machine learning and often requires a large amount of data to obtain high accuracy. Our models achieved superior performance with small and biased samples in comparison with other representative machine learning methods.

On Logical Characterisation of Human Concept Learning based on Terminological Systems

DEFF Research Database (Denmark)

Badie, Farshad

2018-01-01

The central focus of this article is the epistemological assumption that knowledge could be generated based on human beings' experiences and over their conceptions of the world. Logical characterisation of human inductive learning over their produced conceptions within terminological systems and ...... and analysis of actual human inductive reasoning (and learning). This research connects with the topics 'logic & learning', 'cognitive modelling' and 'terminological knowledge representation'.......The central focus of this article is the epistemological assumption that knowledge could be generated based on human beings' experiences and over their conceptions of the world. Logical characterisation of human inductive learning over their produced conceptions within terminological systems...

Amplifying human ability through autonomics and machine learning in IMPACT

Science.gov (United States)

Dzieciuch, Iryna; Reeder, John; Gutzwiller, Robert; Gustafson, Eric; Coronado, Braulio; Martinez, Luis; Croft, Bryan; Lange, Douglas S.

2017-05-01

Amplifying human ability for controlling complex environments featuring autonomous units can be aided by learned models of human and system performance. In developing a command and control system that allows a small number of people to control a large number of autonomous teams, we employ an autonomics framework to manage the networks that represent mission plans and the networks that are composed of human controllers and their autonomous assistants. Machine learning allows us to build models of human and system performance useful for monitoring plans and managing human attention and task loads. Machine learning also aids in the development of tactics that human supervisors can successfully monitor through the command and control system.

Associative learning and the control of human dietary behavior.

Science.gov (United States)

Brunstrom, Jeffrey M

2007-07-01

Most of our food likes and disliked are learned. Relevant forms of associative learning have been identified in animals. However, observations of the same associative processes are relatively scarce in humans. The first section of this paper outlines reasons why this might be the case. Emphasis is placed on recent research exploring individual differences and the importance or otherwise of hunger and contingency awareness. The second section briefly considers the effect of learning on meal size, and the author revisits the question of how learned associations might come to influence energy intake in humans.

Postretrieval new learning does not reliably induce human memory updating via reconsolidation.

Science.gov (United States)

Hardwicke, Tom E; Taqi, Mahdi; Shanks, David R

2016-05-10

Reconsolidation theory proposes that retrieval can destabilize an existing memory trace, opening a time-dependent window during which that trace is amenable to modification. Support for the theory is largely drawn from nonhuman animal studies that use invasive pharmacological or electroconvulsive interventions to disrupt a putative postretrieval restabilization ("reconsolidation") process. In human reconsolidation studies, however, it is often claimed that postretrieval new learning can be used as a means of "updating" or "rewriting" existing memory traces. This proposal warrants close scrutiny because the ability to modify information stored in the memory system has profound theoretical, clinical, and ethical implications. The present study aimed to replicate and extend a prominent 3-day motor-sequence learning study [Walker MP, Brakefield T, Hobson JA, Stickgold R (2003) Nature 425(6958):616-620] that is widely cited as a convincing demonstration of human reconsolidation. However, in four direct replication attempts (n = 64), we did not observe the critical impairment effect that has previously been taken to indicate disruption of an existing motor memory trace. In three additional conceptual replications (n = 48), we explored the broader validity of reconsolidation-updating theory by using a declarative recall task and sequences similar to phone numbers or computer passwords. Rather than inducing vulnerability to interference, memory retrieval appeared to aid the preservation of existing sequence knowledge relative to a no-retrieval control group. These findings suggest that memory retrieval followed by new learning does not reliably induce human memory updating via reconsolidation.

Human-Nature for Climate Action: Nature-Based Solutions for Urban Sustainability

Directory of Open Access Journals (Sweden)

Helen Santiago Fink

2016-03-01

Full Text Available The global climate change agenda proceeds at an incremental pace while the Earth is approaching critical tipping points in its development trajectory. Climate action at this pinnacle juncture needs to be greatly accelerated and rooted in the fundamentals of the problem—human beings’ disconnection from nature. This paper underscores the valuable role nature and nature-based solutions can play in addressing climate change at the city scale and its implications for broader sustainability. Urban ecosystems (nature in cities are seen as an integral part of a proposed local climate action rubric wherein policy measures and integrated planning guide lowcarbon/impact development to create more resilient and sustainable urban environments. The use of green infrastructure is highlighted as a cost-effective means to contribute to mitigation and adaptation needs as well as to promote human wellbeing. The paper takes an exploratory view of the influence of ecosystem services, particularly cultural services, and its economics in relation to the individual and society to understand how biophilia can be nurtured to promote environmental stewardship and climate action.

The nature of student teachers' regulation of learning in teacher education.

Science.gov (United States)

Endedijk, Maaike D; Vermunt, Jan D; Verloop, Nico; Brekelmans, Mieke

2012-09-01

Self-regulated learning (SRL) has mainly been conceptualized to involve student learning within academic settings. In teacher education, where learning from theory and practice is combined, student teachers also need to regulate their learning. Hence, there is an urgent need to extend SRL theories to the domain of teacher learning and to obtain scientific knowledge on the nature of student teachers' SRL to enable support of these processes in teacher education. This study was aimed at exploring the nature of student teachers' regulation of learning across various theoretical and practical contexts in teacher education. Twenty-eight students from a post-graduate academic teacher education institute participated in this study. For the measurement of student teachers' regulation activities, an open question log, called Learning Report, was developed. Content analysis and multiple correspondence analyses of 133 Learning Reports were used to identify qualitative differences in regulation activities and the underlying structure in the data. The analyses resulted in the identification and description of the variety and frequency of student teachers' regulation activities. The relations among the regulation activities were described by an underlying structure of two dimensions: passive versus active regulation of learning and prospective versus retrospective regulation of learning. Active regulation dominated in practice schools, passive regulation at the university. It is argued that for learning to teach, a different conceptualization of SRL is needed, focusing less on setting initial learning goals and more on retrospective aspects of SRL. Building blocks for such a conceptualization are offered. ©2011 The British Psychological Society.

Social learning Processes and Nature-Culture relations of ...

African Journals Online (AJOL)

Beekeeping Practices as Small and Medium. Enterprise ... consider the relationships that exist between humans and nature/environment. At one ... scientific technological development in pursuit of satisfying human needs; while the other end.

Learning Organic Chemistry Through Natural Products A Practical ...

Indian Academy of Sciences (India)

Home; Journals; Resonance – Journal of Science Education; Volume 1; Issue 9. Learning Organic Chemistry Through Natural Products A Practical Approach. N R Krishnaswamy. Series Article Volume 1 Issue 9 September 1996 pp 25-33. Fulltext. Click here to view fulltext PDF. Permanent link:

Dialectical Model of Human Nature

OpenAIRE

Cachat, Jonathan

2013-01-01

The DMoHN is a graphical representation of my current understanding and conceptualization of human nature, in addition to embodying the guiding ethos of social neuroscience. The dialectic is a logic, or way of thinking that joins opposite elements together in a uniting fashion to create emergent attributes not present in the elements alone. The dialectical structure of this model explicitly links Culture and Biology within the human brain in order to convey the symbiotic and dynamic interacti...

Learning with and about Technology: A Middle School Nature Area.

Science.gov (United States)

Fetterman, David

1998-01-01

Discussion of learning with technology as well as about technology focuses on a case study of a middle school nature area that uses technology to extend accessibility of environmental data. Highlights include the design of Web pages to describe the nature area; file sharing software; and the use of videoconferencing. (LRW)

Learning Semantics of Gestural Instructions for Human-Robot Collaboration

Science.gov (United States)

Shukla, Dadhichi; Erkent, Özgür; Piater, Justus

2018-01-01

Designed to work safely alongside humans, collaborative robots need to be capable partners in human-robot teams. Besides having key capabilities like detecting gestures, recognizing objects, grasping them, and handing them over, these robots need to seamlessly adapt their behavior for efficient human-robot collaboration. In this context we present the fast, supervised Proactive Incremental Learning (PIL) framework for learning associations between human hand gestures and the intended robotic manipulation actions. With the proactive aspect, the robot is competent to predict the human's intent and perform an action without waiting for an instruction. The incremental aspect enables the robot to learn associations on the fly while performing a task. It is a probabilistic, statistically-driven approach. As a proof of concept, we focus on a table assembly task where the robot assists its human partner. We investigate how the accuracy of gesture detection affects the number of interactions required to complete the task. We also conducted a human-robot interaction study with non-roboticist users comparing a proactive with a reactive robot that waits for instructions. PMID:29615888

Learning Semantics of Gestural Instructions for Human-Robot Collaboration.

Science.gov (United States)

Shukla, Dadhichi; Erkent, Özgür; Piater, Justus

2018-01-01

Designed to work safely alongside humans, collaborative robots need to be capable partners in human-robot teams. Besides having key capabilities like detecting gestures, recognizing objects, grasping them, and handing them over, these robots need to seamlessly adapt their behavior for efficient human-robot collaboration. In this context we present the fast, supervised Proactive Incremental Learning (PIL) framework for learning associations between human hand gestures and the intended robotic manipulation actions. With the proactive aspect, the robot is competent to predict the human's intent and perform an action without waiting for an instruction. The incremental aspect enables the robot to learn associations on the fly while performing a task. It is a probabilistic, statistically-driven approach. As a proof of concept, we focus on a table assembly task where the robot assists its human partner. We investigate how the accuracy of gesture detection affects the number of interactions required to complete the task. We also conducted a human-robot interaction study with non-roboticist users comparing a proactive with a reactive robot that waits for instructions.

A Tool and Process that Facilitate Community Capacity Building and Social Learning for Natural Resource Management

Directory of Open Access Journals (Sweden)

Christopher M. Raymond

2013-03-01

Full Text Available This study presents a self-assessment tool and process that facilitate community capacity building and social learning for natural resource management. The tool and process provide opportunities for rural landholders and project teams both to self-assess their capacity to plan and deliver natural resource management (NRM programs and to reflect on their capacities relative to other organizations and institutions that operate in their region. We first outline the tool and process and then present a critical review of the pilot in the South Australian Arid Lands NRM region, South Australia. Results indicate that participants representing local, organizational, and institutional tiers of government were able to arrive at a group consensus position on the strength, importance, and confidence of a variety of capacities for NRM categorized broadly as human, social, physical, and financial. During the process, participants learned a lot about their current capacity as well as capacity needs. Broad conclusions are discussed with reference to the iterative process for assessing and reflecting on community capacity.

The Inner Meaning of Outer Space: Human Nature and the Celestial Realm

Directory of Open Access Journals (Sweden)

Timothy L. Hubbard

2008-06-01

Full Text Available Kant argued that humans possess a priori knowledge of space; although his argument focused on a physics of bodies, it also has implications for a psychology of beings. Many human cultures organize stars in the night sky into constellations (i.e., impose structure; attribute properties, behaviors, and abilities to objects in the celestial realm (i.e., impose meaning; and use perceived regularity in the celestial realms in development of calendars, long-range navigation, agriculture, and astrology (i.e., seek predictability and control. The physical inaccessibility of the celestial realm allows a potent source of metaphor, and also allows projection of myths regarding origin and ascension, places of power, and dwelling places of gods, immortals, and other souls. Developments in astronomy and cosmology infl uenced views of human nature and the place of humanity in the universe, and these changes parallel declines in egocentrism with human development. Views regarding alleged beings (e.g., angels, extraterrestrials from the celestial realm (and to how communicate with such beings are anthropocentric and ignore evolutionary factors in physical and cognitive development. It is suggested that in considering views and uses of the celestial realm, we learn not just about the universe, but also about ourselves. *

Natural selection and infectious disease in human populations

Science.gov (United States)

Karlsson, Elinor K.; Kwiatkowski, Dominic P.; Sabeti, Pardis C.

2015-01-01

The ancient biological 'arms race' between microbial pathogens and humans has shaped genetic variation in modern populations, and this has important implications for the growing field of medical genomics. As humans migrated throughout the world, populations encountered distinct pathogens, and natural selection increased the prevalence of alleles that are advantageous in the new ecosystems in both host and pathogens. This ancient history now influences human infectious disease susceptibility and microbiome homeostasis, and contributes to common diseases that show geographical disparities, such as autoimmune and metabolic disorders. Using new high-throughput technologies, analytical methods and expanding public data resources, the investigation of natural selection is leading to new insights into the function and dysfunction of human biology. PMID:24776769

Consistent individual differences in human social learning strategies.

Science.gov (United States)

Molleman, Lucas; van den Berg, Pieter; Weissing, Franz J

2014-04-04

Social learning has allowed humans to build up extensive cultural repertoires, enabling them to adapt to a wide variety of environmental and social conditions. However, it is unclear which social learning strategies people use, especially in social contexts where their payoffs depend on the behaviour of others. Here we show experimentally that individuals differ in their social learning strategies and that they tend to employ the same learning strategy irrespective of the interaction context. Payoff-based learners focus on their peers' success, while decision-based learners disregard payoffs and exclusively focus on their peers' past behaviour. These individual differences may be of considerable importance for cultural evolution. By means of a simple model, we demonstrate that groups harbouring individuals with different learning strategies may be faster in adopting technological innovations and can be more efficient through successful role differentiation. Our study highlights the importance of individual variation for human interactions and sheds new light on the dynamics of cultural evolution.

Learning objects as coadjuvants in the human physiology teaching-learning process

Directory of Open Access Journals (Sweden)

Marcus Vinícius Lara

2014-08-01

Full Text Available The use of Information and Communication Technologies (ICTs in the academic environment of biomedical area has gained much importance, both for their ability to complement the understanding of the subject obtained in the classroom, is the ease of access, or makes more pleasure the learning process, since these tools are present in everyday of the students and use a simple language. Considering that, this study aims to report the experience of building learning objects in human physiology as a tool for learning facilitation, and discuss the impact of this teaching methodology

On the normativity of human nature: some epistemological remarks.

Science.gov (United States)

Corradini, Antonella

2003-04-01

This paper examines the role played by the concept of human nature in ethical theory. The focus is on the epistemological problems that arise from application of this notion to the foundation of ethics. From this viewpoint, two theories, the neoscholastic and the neoclassical ones, are expounded, analyzed and compared. The aim is to highlight their opposite ways of relating the "ought-to-be" (of norms) to the "is" (of human nature). The conclusion is drawn that an adequate solution of the dispute depends on a correct interpretation of Hume's law. Reflection is conducted in the last section on the implications of metaethical discourse on human nature for applied ethics.

"Wide-Awake Learning": Integrative Learning and Humanities Education

Science.gov (United States)

Booth, Alan

2011-01-01

This article reviews the development of integrative learning and argues that it has an important role to play in broader conceptions of the undergraduate curriculum recently advanced in the UK. It suggests that such a focus might also provide arts and humanities educators with a hopeful prospect in difficult times: a means by which the distinctive…

On the nature and meaning of human finitude.

Science.gov (United States)

Frie, Roger

2013-06-01

This article considers the interaction between psychoanalysis and philosophy by examining the meaning of human finitude in the work of Freud and Heidegger. Although Freud and Heidegger develop radically different systems of thought, they are surprisingly close in their examination of the human attitude toward death. Freud's philosophical reflections on the nature of death are ultimately subsumed in his speculative theory of the death instinct, which is far removed from the lived experience of finitude. Heidegger's ontological account of death draws from lived experience but neglects the relational nature of finitude. Drawing on the connection between the work of Binswanger and Stolorow, I maintain that finitude is a fundamentally relational phenomenon. While philosophy can help us to understand and formulate an account of human finitude, the relational nature of psychoanalysis can help us bear the trauma associated with death.

Sustainability or collapse: What can we learn from integrating the history of humans and the rest of nature?

NARCIS (Netherlands)

Costanza, R.; Graumlich, L.; Steffen, W.; Crumley, C.; Dearing, J.; Hibbard, K.; Leemans, R.; Redman, C.; Schimel, D.

2007-01-01

Understanding the history of how humans have interacted with the rest of nature can help clarify the options for managing our increasingly interconnected global system. Simple, deterministic relationships between environmental stress and social change are inadequate. Extreme drought, for instance,

Homo Ethicus : Understanding the Human Nature that Underlies ...

African Journals Online (AJOL)

Abstract. The themes of human rights and human rights education in South Africa's multi-cultural society are central to the work of Cornelia Roux. This article discusses the human reality and ethics underlying those themes, using an approach based on a view of human nature. It has six sections, starting with an introduction ...

Editorial: Technology for higher education, adult learning and human performance

OpenAIRE

Minhong Wang; Chi-Cheng Chang; Feng Wu

2013-01-01

This special issue is dedicated to technology-enabled approaches for improving higher education, adult learning, and human performance. Improvement of learning and human development for sustainable development has been recognized as a key strategy for individuals, institutions, and organizations to strengthen their competitive advantages. It becomes crucial to help adult learners and knowledge workers to improve their self-directed and life-long learning capabilities. Meanwhile, advances in t...

Human-like brain hemispheric dominance in birdsong learning.

Science.gov (United States)

Moorman, Sanne; Gobes, Sharon M H; Kuijpers, Maaike; Kerkhofs, Amber; Zandbergen, Matthijs A; Bolhuis, Johan J

2012-07-31

Unlike nonhuman primates, songbirds learn to vocalize very much like human infants acquire spoken language. In humans, Broca's area in the frontal lobe and Wernicke's area in the temporal lobe are crucially involved in speech production and perception, respectively. Songbirds have analogous brain regions that show a similar neural dissociation between vocal production and auditory perception and memory. In both humans and songbirds, there is evidence for lateralization of neural responsiveness in these brain regions. Human infants already show left-sided dominance in their brain activation when exposed to speech. Moreover, a memory-specific left-sided dominance in Wernicke's area for speech perception has been demonstrated in 2.5-mo-old babies. It is possible that auditory-vocal learning is associated with hemispheric dominance and that this association arose in songbirds and humans through convergent evolution. Therefore, we investigated whether there is similar song memory-related lateralization in the songbird brain. We exposed male zebra finches to tutor or unfamiliar song. We found left-sided dominance of neuronal activation in a Broca-like brain region (HVC, a letter-based name) of juvenile and adult zebra finch males, independent of the song stimulus presented. In addition, juvenile males showed left-sided dominance for tutor song but not for unfamiliar song in a Wernicke-like brain region (the caudomedial nidopallium). Thus, left-sided dominance in the caudomedial nidopallium was specific for the song-learning phase and was memory-related. These findings demonstrate a remarkable neural parallel between birdsong and human spoken language, and they have important consequences for our understanding of the evolution of auditory-vocal learning and its neural mechanisms.

Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision.

Science.gov (United States)

Wen, Haiguang; Shi, Junxing; Zhang, Yizhen; Lu, Kun-Han; Cao, Jiayue; Liu, Zhongming

2017-10-20

Convolutional neural network (CNN) driven by image recognition has been shown to be able to explain cortical responses to static pictures at ventral-stream areas. Here, we further showed that such CNN could reliably predict and decode functional magnetic resonance imaging data from humans watching natural movies, despite its lack of any mechanism to account for temporal dynamics or feedback processing. Using separate data, encoding and decoding models were developed and evaluated for describing the bi-directional relationships between the CNN and the brain. Through the encoding models, the CNN-predicted areas covered not only the ventral stream, but also the dorsal stream, albeit to a lesser degree; single-voxel response was visualized as the specific pixel pattern that drove the response, revealing the distinct representation of individual cortical location; cortical activation was synthesized from natural images with high-throughput to map category representation, contrast, and selectivity. Through the decoding models, fMRI signals were directly decoded to estimate the feature representations in both visual and semantic spaces, for direct visual reconstruction and semantic categorization, respectively. These results corroborate, generalize, and extend previous findings, and highlight the value of using deep learning, as an all-in-one model of the visual cortex, to understand and decode natural vision. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Biological and social understanding of human nature: biopolitical dimension

Directory of Open Access Journals (Sweden)

S. K. Kostiuchkov

2014-07-01

Full Text Available This paper examines the position of the biopolitical nature of man as a biosocial being given supplies of both the two spheres of life – natural, biological and social. The necessity of understanding of human nature, which by definition are bio-social importance of the approach to the definition of man as an integral, binary-konnotovanoyi of the «social individual – a species» which is characterized by symmetrical opposition – upposition social and biological. It was found that the main task of modern political science, and in particular bio-political studies presented appeals to rethink the political picture of the world in order to predict the development of a new order or a new chaos. Understanding the formation of a new global civilization worldview is today one of the most important problems, which is connected with the main problem of the modern world – the task of preserving life on the planet. It is concluded that the contradictions of human nature – between the biological and the social, physical and spiritual, universal and the particular, natural and artificial, rational and emotional – in today’s conditions are extremely sharp. The said situation requires more in-depth scientific analysis of human nature, the study of the structural level as human biosocial system.

Teaching and Learning French--A Tale of Desire in the Humanities

Science.gov (United States)

Cunningham, Catriona

2017-01-01

This article considers the way we talk about learning and teaching the humanities in higher education in the UK. By using the tools of the arts and humanities within the scholarship of learning and teaching, and examining a personal perspective, the author explores the transformational impact of French language learning and teaching. Close textual…

Learning outdoors: male lizards show flexible spatial learning under semi-natural conditions

Science.gov (United States)

Noble, Daniel W. A.; Carazo, Pau; Whiting, Martin J.

2012-01-01

Spatial cognition is predicted to be a fundamental component of fitness in many lizard species, and yet some studies suggest that it is relatively slow and inflexible. However, such claims are based on work conducted using experimental designs or in artificial contexts that may underestimate their cognitive abilities. We used a biologically realistic experimental procedure (using simulated predatory attacks) to study spatial learning and its flexibility in the lizard Eulamprus quoyii in semi-natural outdoor enclosures under similar conditions to those experienced by lizards in the wild. To evaluate the flexibility of spatial learning, we conducted a reversal spatial-learning task in which positive and negative reinforcements of learnt spatial stimuli were switched. Nineteen (32%) male lizards learnt both tasks within 10 days (spatial task mean: 8.16 ± 0.69 (s.e.) and reversal spatial task mean: 10.74 ± 0.98 (s.e.) trials). We demonstrate that E. quoyii are capable of flexible spatial learning and suggest that future studies focus on a range of lizard species which differ in phylogeny and/or ecology, using biologically relevant cognitive tasks, in an effort to bridge the cognitive divide between ecto- and endotherms. PMID:23075525

Exceptionalist naturalism: Human agency and the causal order.

Science.gov (United States)

Turri, John

2018-02-01

This paper addresses a fundamental question in folk metaphysics: How do we ordinarily view human agency? According to the transcendence account, we view human agency as standing outside of the causal order and imbued with exceptional powers. According to a naturalistic account, we view human agency as subject to the same physical laws as other objects and completely open to scientific investigation. According to exceptionalist naturalism, the truth lies somewhere in between: We view human agency as fitting broadly within the causal order while still being exceptional in important respects. In this paper, I report seven experiments designed to decide between these three competing theories. Across a variety of contexts and types of action, participants agreed that human agents can resist outcomes described as inevitable, guaranteed, and causally determined. Participants viewed non-human animal agents similarly, whereas they viewed computers, robots, and simple inanimate objects differently. At the same time, participants judged that human actions are caused by many things, including psychological, neurological, and social events. Overall, in folk metaphysics, human and non-human animals are viewed as exceptional parts of the natural world.

Convergent transcriptional specializations in the brains of humans and song-learning birds

DEFF Research Database (Denmark)

Pfenning, Andreas R.; Hara, Erina; Whitney, Osceola

2014-01-01

Song-learning birds and humans share independently evolved similarities in brain pathways for vocal learning that are essential for song and speech and are not found in most other species. Comparisons of brain transcriptomes of song-learning birds and humans relative to vocal nonlearners identified...... convergent gene expression specializations in specific song and speech brain regions of avian vocal learners and humans. The strongest shared profiles relate bird motor and striatal song-learning nuclei, respectively, with human laryngeal motor cortex and parts of the striatum that control speech production...... and learning. Most of the associated genes function in motor control and brain connectivity. Thus, convergent behavior and neural connectivity for a complex trait are associated with convergent specialized expression of multiple genes....

Flood Protection Decision Making Within a Coupled Human and Natural System

Science.gov (United States)

O'Donnell, Greg; O'Connell, Enda

2013-04-01

Due to the perceived threat from climate change, prediction under changing climatic and hydrological conditions has become a dominant theme of hydrological research. Much of this research has been climate model-centric, in which GCM/RCM climate projections have been used to drive hydrological system models to explore potential impacts that should inform adaptation decision-making. However, adaptation fundamentally involves how humans may respond to increasing flood and drought hazards by changing their strategies, activities and behaviours which are coupled in complex ways to the natural systems within which they live and work. Humans are major agents of change in hydrological systems, and representing human activities and behaviours in coupled human and natural hydrological system models is needed to gain insight into the complex interactions that take place, and to inform adaptation decision-making. Governments and their agencies are under pressure to make proactive investments to protect people living in floodplains from the perceived increasing flood hazard. However, adopting this as a universal strategy everywhere is not affordable, particularly in times of economic stringency and given uncertainty about future climatic conditions. It has been suggested that the assumption of stationarity, which has traditionally been invoked in making hydrological risk assessments, is no longer tenable. However, before the assumption of hydrologic nonstationarity is accepted, the ability to cope with the uncertain impacts of global warming on water management via the operational assumption of hydrologic stationarity should be carefully examined. Much can be learned by focussing on natural climate variability and its inherent changes in assessing alternative adaptation strategies. A stationary stochastic multisite flood hazard model has been developed that can exhibit increasing variability/persistence in annual maximum floods, starting with the traditional assumption of

Learning and motivation in the human striatum.

Science.gov (United States)

Shohamy, Daphna

2011-06-01

The past decade has seen a dramatic change in our understanding of the role of the striatum in behavior. Early perspectives emphasized a role for the striatum in habitual learning of stimulus-response associations and sequences of actions. Recent advances from human neuroimaging research suggest a broader role for the striatum in motivated learning. New findings demonstrate that the striatum represents multiple learning signals and highlight the contribution of the striatum across many cognitive domains and contexts. Recent findings also emphasize interactions between the striatum and other specialized brain systems for learning. Together, these findings suggest that the striatum contributes to a distributed network that learns to select actions based on their predicted value in order to optimize behavior. Copyright © 2011 Elsevier Ltd. All rights reserved.

Deep Learning and its Applications in the Natural Sciences

CERN Multimedia

CERN. Geneva

2015-01-01

Starting from a brief historical perspective on scientific discovery, this talk will review some of the theory and open problems of deep learning and describe how to design efficient feedforward and recursive deep learning architectures for applications in the natural sciences. In particular, the focus will be on multiple particle problems at different scales: in biology (e.g. prediction of protein structures), chemistry (e.g. prediction of molecular properties and reactions), and high-energy physics (e.g. detection of exotic particles, jet substructure and tagging, "dark matter and dark knowledge")

Promising Therapeutics with Natural Bioactive Compounds for Improving Learning and Memory — A Review of Randomized Trials

Directory of Open Access Journals (Sweden)

Jin-Yong Choi

2012-09-01

Full Text Available Cognitive disorders can be associated with brain trauma, neurodegenerative disease or as a part of physiological aging. Aging in humans is generally associated with deterioration of cognitive performance and, in particular, learning and memory. Different therapeutic approaches are available to treat cognitive impairment during physiological aging and neurodegenerative or psychiatric disorders. Traditional herbal medicine and numerous plants, either directly as supplements or indirectly in the form of food, improve brain functions including memory and attention. More than a hundred herbal medicinal plants have been traditionally used for learning and memory improvement, but only a few have been tested in randomized clinical trials. Here, we will enumerate those medicinal plants that show positive effects on various cognitive functions in learning and memory clinical trials. Moreover, besides natural products that show promising effects in clinical trials, we briefly discuss medicinal plants that have promising experimental data or initial clinical data and might have potential to reach a clinical trial in the near future.

Emerging Approach of Natural Language Processing in Opinion Mining: A Review

Science.gov (United States)

Kim, Tai-Hoon

Natural language processing (NLP) is a subfield of artificial intelligence and computational linguistics. It studies the problems of automated generation and understanding of natural human languages. This paper outlines a framework to use computer and natural language techniques for various levels of learners to learn foreign languages in Computer-based Learning environment. We propose some ideas for using the computer as a practical tool for learning foreign language where the most of courseware is generated automatically. We then describe how to build Computer Based Learning tools, discuss its effectiveness, and conclude with some possibilities using on-line resources.

Human Subjects Protection: A Source for Ethical Service-Learning Practice

Science.gov (United States)

Wendler, Rachael

2012-01-01

Human subjects research ethics were developed to ensure responsible conduct when university researchers learn by interacting with community members. As service-learning students also learn by interacting with community members, a similar set of principles may strengthen the ethical practice of service-learning. This article identifies ethical…

Contemporary assumptions on human nature and work and approach to human potential managing

Directory of Open Access Journals (Sweden)

Vujić Dobrila

2006-01-01

Full Text Available A general problem of this research is to identify if there is a relationship between the assumption on human nature and work (Mcgregor, Argyris, Schein, Steers and Porter and a general organizational model preference, as well as a mechanism of human resource management? This research was carried out in 2005/2006. The sample consisted of 317 subjects (197 managers, 105 highly educated subordinates and 15 entrepreneurs in 7 big enterprises in a group of small business enterprises differentiating in terms of the entrepreneur’s structure and a type of activity. A general hypothesis "that assumptions on human nature and work are statistically significant in connection to the preference approach (models, of work motivation commitment", has been confirmed. A specific hypothesis have been also confirmed: ·The assumptions on a human as a rational economic being are statistically significant in correlation with only two mechanisms of traditional models, the mechanism of method work control and the working discipline mechanism. ·Statistically significant assumptions on a human as a social being are correlated with all mechanisms of engaging employees, which belong to the model of the human relations, except the mechanism introducing the adequate type of prizes for all employees independently of working results. ·The assumptions on a human as a creative being are statistically significant, positively correlating with preference of two mechanisms belonging to the human resource model by investing into education and training and making conditions for the application of knowledge and skills. The young with assumptions on a human as a creative being prefer much broader repertoire of mechanisms belonging to the human resources model from the remaining category of subjects in the pattern. The connection between the assumption on human nature and preference models of engaging appears especially in the sub-pattern of managers, in the category of young subjects

Unweaving misconceptions: Guided learning, simulations, and misconceptions in learning principles of natural selection

Science.gov (United States)

Weeks, Brian E.

College students often come to the study of evolutionary biology with many misconceptions of how the processes of natural selection and speciation occur. How to relinquish these misconceptions with learners is a question that many educators face in introductory biology courses. Constructivism as a theoretical framework has become an accepted and promoted model within the epistemology of science instruction. However, constructivism is not without its skeptics who see some problems of its application in lacking necessary guidance for novice learners. This study within a quantitative, quasi-experimental format tested whether guided online instruction in a video format of common misconceptions in evolutionary biology produced higher performance on a survey of knowledge of natural selection versus more constructivist style learning in the form of student exploration of computer simulations of the evolutionary process. Performances on surveys were also explored for a combination of constructivist and guided techniques to determine if a consolidation of approaches produced higher test scores. Out of the 94 participants 95% displayed at least one misconception of natural selection in the pre-test while the study treatments produced no statistically significant improvements in post-test scores except within the video (guided learning treatment). These overall results demonstrated the stubbornness of misconceptions involving natural selection for adult learners and the difficulty of helping them overcome them. It also bolsters the idea that some misconceptions of natural selection and evolution may be hardwired in a neurological sense and that new, more long-term teaching techniques may be warranted. Such long-term strategies may not be best implemented with constructivist techniques alone, and it is likely that some level of guidance may be necessary for novice adult learners. A more substantial, nuanced approach for undergraduates is needed that consolidates successful

Associative learning in baboons (Papio papio) and humans (Homo sapiens): species differences in learned attention to visual features.

Science.gov (United States)

Fagot, J; Kruschke, J K; Dépy, D; Vauclair, J

1998-10-01

We examined attention shifting in baboons and humans during the learning of visual categories. Within a conditional matching-to-sample task, participants of the two species sequentially learned two two-feature categories which shared a common feature. Results showed that humans encoded both features of the initially learned category, but predominantly only the distinctive feature of the subsequently learned category. Although baboons initially encoded both features of the first category, they ultimately retained only the distinctive features of each category. Empirical data from the two species were analyzed with the 1996 ADIT connectionist model of Kruschke. ADIT fits the baboon data when the attentional shift rate is zero, and the human data when the attentional shift rate is not zero. These empirical and modeling results suggest species differences in learned attention to visual features.

DESCARTES’ COMPREHENSION OF HUMAN NATURE IN «DISCOURSE ON THE METHOD»

Directory of Open Access Journals (Sweden)

A. M. Malivskyi

2014-12-01

Full Text Available The purpose of the article is to analyze the text "Discourse on the Method" as one of the first experiences of understanding human’s nature in modern age philosophy. The condition of realization the designated purpose is to solve the following problems: 1 To Define the diversity of Descartes position on the issue of essentiality to the true knowledge of human nature; 2 To find out the manner influence of methodology of understanding the mathematical truth to the way of interpretation of human nature; 3 To clarify the question of Descartes awareness of boundaries rationalist methodology in understanding of human nature. Methodology. As the methodological base is proposed to use the heuristic potential of phenomenology and existentialism, as well as those publications of foreign Descartes’ researchers of recent times, which introduce the new way for understanding of Descartes’ philosophical heritage. Scientific novelty. For the first time ever in the scientific literature Descartes text "Discourse on Method" becomes the object of special attention as a form of deployment the substantial request for the development of the anthropological project. The affinity and heredity of philosophical doctrines of Aristotle and Descartes on the problem of human nature are accented that is the recognition of the key importance of the need for truth in human nature. It is argued that beyond Descartes’ vision there was no limitation of rationalistic methodology during the comprehension of human nature. Conclusions. The implemented analysis confirms the validity of the thesis about text of the "Discourse on Method" by Descartes as a request of substantial unfolding of the anthropological project. The determining influence methodology of comprehension the mathematical truths to the way of interpretation of human nature were shown. The fact of Descartes’ awareness the limitation of methodology of mathematics in the understanding of human nature and

Human-level control through deep reinforcement learning

Science.gov (United States)

Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Rusu, Andrei A.; Veness, Joel; Bellemare, Marc G.; Graves, Alex; Riedmiller, Martin; Fidjeland, Andreas K.; Ostrovski, Georg; Petersen, Stig; Beattie, Charles; Sadik, Amir; Antonoglou, Ioannis; King, Helen; Kumaran, Dharshan; Wierstra, Daan; Legg, Shane; Hassabis, Demis

2015-02-01

The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in situations approaching real-world complexity, however, agents are confronted with a difficult task: they must derive efficient representations of the environment from high-dimensional sensory inputs, and use these to generalize past experience to new situations. Remarkably, humans and other animals seem to solve this problem through a harmonious combination of reinforcement learning and hierarchical sensory processing systems, the former evidenced by a wealth of neural data revealing notable parallels between the phasic signals emitted by dopaminergic neurons and temporal difference reinforcement learning algorithms. While reinforcement learning agents have achieved some successes in a variety of domains, their applicability has previously been limited to domains in which useful features can be handcrafted, or to domains with fully observed, low-dimensional state spaces. Here we use recent advances in training deep neural networks to develop a novel artificial agent, termed a deep Q-network, that can learn successful policies directly from high-dimensional sensory inputs using end-to-end reinforcement learning. We tested this agent on the challenging domain of classic Atari 2600 games. We demonstrate that the deep Q-network agent, receiving only the pixels and the game score as inputs, was able to surpass the performance of all previous algorithms and achieve a level comparable to that of a professional human games tester across a set of 49 games, using the same algorithm, network architecture and hyperparameters. This work bridges the divide between high-dimensional sensory inputs and actions, resulting in the first artificial agent that is capable of learning to excel at a diverse array of challenging tasks.

Human-level control through deep reinforcement learning.

Science.gov (United States)

Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Rusu, Andrei A; Veness, Joel; Bellemare, Marc G; Graves, Alex; Riedmiller, Martin; Fidjeland, Andreas K; Ostrovski, Georg; Petersen, Stig; Beattie, Charles; Sadik, Amir; Antonoglou, Ioannis; King, Helen; Kumaran, Dharshan; Wierstra, Daan; Legg, Shane; Hassabis, Demis

2015-02-26

The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in situations approaching real-world complexity, however, agents are confronted with a difficult task: they must derive efficient representations of the environment from high-dimensional sensory inputs, and use these to generalize past experience to new situations. Remarkably, humans and other animals seem to solve this problem through a harmonious combination of reinforcement learning and hierarchical sensory processing systems, the former evidenced by a wealth of neural data revealing notable parallels between the phasic signals emitted by dopaminergic neurons and temporal difference reinforcement learning algorithms. While reinforcement learning agents have achieved some successes in a variety of domains, their applicability has previously been limited to domains in which useful features can be handcrafted, or to domains with fully observed, low-dimensional state spaces. Here we use recent advances in training deep neural networks to develop a novel artificial agent, termed a deep Q-network, that can learn successful policies directly from high-dimensional sensory inputs using end-to-end reinforcement learning. We tested this agent on the challenging domain of classic Atari 2600 games. We demonstrate that the deep Q-network agent, receiving only the pixels and the game score as inputs, was able to surpass the performance of all previous algorithms and achieve a level comparable to that of a professional human games tester across a set of 49 games, using the same algorithm, network architecture and hyperparameters. This work bridges the divide between high-dimensional sensory inputs and actions, resulting in the first artificial agent that is capable of learning to excel at a diverse array of challenging tasks.

Nature and Nurture of Human Pain

Directory of Open Access Journals (Sweden)

Inna Belfer

2013-01-01

Full Text Available Humans are very different when it comes to pain. Some get painful piercings and tattoos; others can not stand even a flu shot. Interindividual variability is one of the main characteristics of human pain on every level including the processing of nociceptive impulses at the periphery, modification of pain signal in the central nervous system, perception of pain, and response to analgesic strategies. As for many other complex behaviors, the sources of this variability come from both nurture (environment and nature (genes. Here, I will discuss how these factors contribute to human pain separately and via interplay and how epigenetic mechanisms add to the complexity of their effects.

Human nature: neither material nor spiritually being

Directory of Open Access Journals (Sweden)

M. Alba Martínez Amorós

2017-08-01

Full Text Available The idea of «human nature» defended by Ortega y Gasset is as original as opposite to what is usually understood. We are making a mistake if the starting point is to conceive Man as one living being among others. Neither science nor philosophy, while remaining in the Eleatic tradition, can give a clear explanation. Science, because if we look at Man, as he is presented to us, it is impossible to distinguish in him materially from spiritually; his body and his psyche. Philosophy, because the concept of «human nature» is an invention of our reason, a fantasy. That nature doesn’t exist because the being of man is so strange and different from other beings that its consistency is just going to be what it never manages to be. Therefore, it is what happens, a journey, a history that is running within a circumstance. This is my life, and that of everyone.

Learning collaborative teamwork: an argument for incorporating the humanities.

Science.gov (United States)

Hall, Pippa; Brajtman, Susan; Weaver, Lynda; Grassau, Pamela Anne; Varpio, Lara

2014-11-01

A holistic, collaborative interprofessional team approach, which includes patients and families as significant decision-making members, has been proposed to address the increasing burden being placed on the health-care system. This project hypothesized that learning activities related to the humanities during clinical placements could enhance interprofessional teamwork. Through an interprofessional team of faculty, clinical staff, students, and patient representatives, we developed and piloted the self-learning module, "interprofessional education for collaborative person-centred practice through the humanities". The module was designed to provide learners from different professions and educational levels with a clinical placement/residency experience that would enable them, through a lens of the humanities, to better understand interprofessional collaborative person-centred care without structured interprofessional placement activities. Learners reported the self-paced and self-directed module to be a satisfactory learning experience in all four areas of care at our institution, and certain attitudes and knowledge were significantly and positively affected. The module's evaluation resulted in a revised edition providing improved structure and instruction for students with no experience in self-directed learning. The module was recently adapted into an interactive bilingual (French and English) online e-learning module to facilitate its integration into the pre-licensure curriculum at colleges and universities.

Learning by bidding: evidence from a large-scale natural experiment

Czech Academy of Sciences Publication Activity Database

Hanousek, Jan; Kočenda, Evžen

-, č. 247 (2005), s. 1-33 ISSN 1211-3298 Institutional research plan: CEZ:AV0Z70850503 Keywords : learning * natural experiment * auction Subject RIV: AH - Economics http://www.cerge-ei.cz/pdf/wp/Wp247.pdf

From the social learning theory to a social learning algorithm for global optimization

OpenAIRE

Gong, Yue-Jiao; Zhang, Jun; Li, Yun

2014-01-01

Traditionally, the Evolutionary Computation (EC) paradigm is inspired by Darwinian evolution or the swarm intelligence of animals. Bandura's Social Learning Theory pointed out that the social learning behavior of humans indicates a high level of intelligence in nature. We found that such intelligence of human society can be implemented by numerical computing and be utilized in computational algorithms for solving optimization problems. In this paper, we design a novel and generic optimization...

Lifelong Learning: An Overview.

Science.gov (United States)

MacLean, Janet R.

Lifelong learning encompasses those experiences in any setting, nurtured by any motivation, which improve capabilities for developing one's personality and for integrating one's lifestyle with the human, natural, and social environments in which one chooses to live. Some predicted changes will challenge those interested in lifelong learning. The…

Effectiveness of using blended learning strategies for teaching and learning human anatomy.

Science.gov (United States)

Pereira, José A; Pleguezuelos, Eulogio; Merí, Alex; Molina-Ros, Antoni; Molina-Tomás, M Carmen; Masdeu, Carlos

2007-02-01

This study aimed to implement innovative teaching methods--blended learning strategies--that include the use of new information technologies in the teaching of human anatomy and to analyse both the impact of these strategies on academic performance, and the degree of user satisfaction. The study was carried out among students in Year 1 of the biology degree curriculum (human biology profile) at Pompeu Fabra University, Barcelona. Two groups of students were tested on knowledge of the anatomy of the locomotor system and results compared between groups. Blended learning strategies were employed in 1 group (BL group, n = 69); the other (TT group; n = 65) received traditional teaching aided by complementary material that could be accessed on the Internet. Both groups were evaluated using the same types of examination. The average marks presented statistically significant differences (BL 6.3 versus TT 5.0; P < 0.0001). The percentage pass rate for the subject in the first call was higher in the BL group (87.9% versus 71.4%; P = 0.02), reflecting a lower incidence of students who failed to sit the examination (BL 4.3% versus TT 13.8%; P = 0.05). There were no differences regarding overall satisfaction with the teaching received. Blended learning was more effective than traditional teaching for teaching human anatomy.

The natural radioactivity of plants, animals and humans. 3. enl. ed.

International Nuclear Information System (INIS)

Schewtschenko, I.N.; Danilenko, A.I.

2007-01-01

The natural radioactivity of plants, animals and humans are of important scientific relevance for radiobiology and medicine. The possible effects of micro doses during life span are still controversially discussed. Part I of the book (the natural radioactivity of plants, animals and humans for the normal case and in case of pathological changes) covers the following topics: the natural radioisotopes in living organisms (plants, animals, humans) and their environment; methodologies of qualitative and quantitative determination of beta-activity in biological objects; the radioactivity of atmospheric precipitations; the beta-activity of plants; the beta-activity of animals; beta-activity of human organs and tissues. Part II (dynamics of radionuclides in the biological chains in the period 1960 to 2007): the modern conceptions on the biological role of natural radioactive elements, biological indications during early stages of low-dose ionizing irradiation; the radioactivity of the human blood; radiation and carcerogenesis

Human likeness: cognitive and affective factors affecting adoption of robot-assisted learning systems

Science.gov (United States)

Yoo, Hosun; Kwon, Ohbyung; Lee, Namyeon

2016-07-01

With advances in robot technology, interest in robotic e-learning systems has increased. In some laboratories, experiments are being conducted with humanoid robots as artificial tutors because of their likeness to humans, the rich possibilities of using this type of media, and the multimodal interaction capabilities of these robots. The robot-assisted learning system, a special type of e-learning system, aims to increase the learner's concentration, pleasure, and learning performance dramatically. However, very few empirical studies have examined the effect on learning performance of incorporating humanoid robot technology into e-learning systems or people's willingness to accept or adopt robot-assisted learning systems. In particular, human likeness, the essential characteristic of humanoid robots as compared with conventional e-learning systems, has not been discussed in a theoretical context. Hence, the purpose of this study is to propose a theoretical model to explain the process of adoption of robot-assisted learning systems. In the proposed model, human likeness is conceptualized as a combination of media richness, multimodal interaction capabilities, and para-social relationships; these factors are considered as possible determinants of the degree to which human cognition and affection are related to the adoption of robot-assisted learning systems.

The surface learned from nature

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Lim, H.; Kim, W. D.

2010-07-01

In this work, I would like to introduce the emerging surface of nature. The surface in nature, has the multi and optimized function with well organized structure. There are so many examples that we learn and apply to technology. First example is self-cleaning surface. Some plants (such as lotus leaf, taro leaf) and the wings of many large-winged insects (such as moth, butterfly, dragonfly) remain their surface clean in the very dirty environment. This self cleaning effect is accomplished by the superhydrophobic surfaces which exhibit the water contact angle of more than 150° with low sliding angle. Generally, the superhydrophobic surface is made up the two factors. One is the surface composition having the low surface tension energy. The other is the surface morphology of hierarchical structure of micro and nano size. Because almost nature surface have the hierarchical structures range from macro to nano size, their topography strength their function to adjust the life in nature environment. The other example is the surface to use for drag reduction. The skin friction drag causes eruptions of air or water resulting in greater drag as the speed is increased. This drag requires more energy to overcome. The shark skin having the fine sharp-edged grooves about 0.1 mm wide known riblet reduces in skin friction drag by being far away the vortex. Among a lot of fuctional surface, the most exciting surface the back of stenocara a kind of desert beetles. Stenocara use the micrometre-sized patterns of hydrophobic, wax-coated and hydrophilic, non-waxy regions on their backs to capture water from fog. This fog-collecting structure improves the water collection of fog-capture film, condenser, engine, and future building. Here, the efforts to realize these emerging functional surfaces in nature on technology are reported with the fabrication method and their properties, especially for the control of surface wettability.

How we learn to make decisions: rapid propagation of reinforcement learning prediction errors in humans.

Science.gov (United States)

Krigolson, Olav E; Hassall, Cameron D; Handy, Todd C

2014-03-01

Our ability to make decisions is predicated upon our knowledge of the outcomes of the actions available to us. Reinforcement learning theory posits that actions followed by a reward or punishment acquire value through the computation of prediction errors-discrepancies between the predicted and the actual reward. A multitude of neuroimaging studies have demonstrated that rewards and punishments evoke neural responses that appear to reflect reinforcement learning prediction errors [e.g., Krigolson, O. E., Pierce, L. J., Holroyd, C. B., & Tanaka, J. W. Learning to become an expert: Reinforcement learning and the acquisition of perceptual expertise. Journal of Cognitive Neuroscience, 21, 1833-1840, 2009; Bayer, H. M., & Glimcher, P. W. Midbrain dopamine neurons encode a quantitative reward prediction error signal. Neuron, 47, 129-141, 2005; O'Doherty, J. P. Reward representations and reward-related learning in the human brain: Insights from neuroimaging. Current Opinion in Neurobiology, 14, 769-776, 2004; Holroyd, C. B., & Coles, M. G. H. The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109, 679-709, 2002]. Here, we used the brain ERP technique to demonstrate that not only do rewards elicit a neural response akin to a prediction error but also that this signal rapidly diminished and propagated to the time of choice presentation with learning. Specifically, in a simple, learnable gambling task, we show that novel rewards elicited a feedback error-related negativity that rapidly decreased in amplitude with learning. Furthermore, we demonstrate the existence of a reward positivity at choice presentation, a previously unreported ERP component that has a similar timing and topography as the feedback error-related negativity that increased in amplitude with learning. The pattern of results we observed mirrored the output of a computational model that we implemented to compute reward

Learning by investing: evidence from a naturally occurring auction

Czech Academy of Sciences Publication Activity Database

Hanousek, Jan; Kočenda, Evžen

2011-01-01

Roč. 19, č. 1 (2011), s. 125-149 ISSN 0967-0750 R&D Projects: GA ČR GA402/09/1595; GA MŠk LC542 Institutional research plan: CEZ:MSM0021620846 Keywords : learning * naturally occurring auction * stock market Subject RIV: AH - Economics Impact factor: 0.679, year: 2011

Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction

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Oliver Schürer

2018-01-01

Full Text Available When using assistive systems, the consideration of individual and cultural meaning is crucial for the utility and acceptance of technology. Orientation, communication and interaction are rooted in perception and therefore always happen in material space. We understand that a major problem lies in the difference between human and technical perception of space. Cultural policies are based on meanings including their spatial situation and their rich relationships. Therefore, we have developed an approach where the different perception systems share a hybrid spatial model that is generated by artificial intelligence—a joint effort by humans and assistive systems. The aim of our project is to create a spatial model of cultural meaning based on interaction between humans and robots. We define the role of humanoid robots as becoming our companions. This calls for technical systems to include still inconceivable human and cultural agendas for the perception of space. In two experiments, we tested a first prototype of the communication module that allows a humanoid to learn cultural meanings through a machine learning system. Interaction is achieved by non-verbal and natural-language communication between humanoids and test persons. This helps us to better understand how a spatial model of cultural meaning can be developed.

The Debates in Marx's Scholarship on Dimensions of Human nature ...

African Journals Online (AJOL)

Debates in Marx scholarship revolve around whether Karl Marx recognizes the individual and social dimensions of human nature and which of the two he prefers. This paper considers the debates in two ways. The first relates to Marx scholarship in favour of the individual dimension of human nature. The second concerns ...

From nature-dominated to human-dominated environmental changes

Science.gov (United States)

Messerli, Bruno; Grosjean, Martin; Hofer, Thomas; Núñez, Lautaro; Pfister, Christian

2000-01-01

To what extent is it realistic and useful to view human history as a sequence of changes from highly vulnerable societies of hunters and gatherers through periods with less vulnerable, well buffered and highly productive agrarian-urban societies to a world with regions of extreme overpopulation and overuse of life support systems, so that vulnerability to climatic-environmental changes and extreme events is again increasing? This question cannot be fully answered in our present state of knowledge, but at least we can try to illustrate, with three case studies from different continents, time periods and ecosystems, some fundamental changes in the relationship between natural processes and human activities that occur, as we pass from a nature-dominated to a human dominated environment. 1. Early-mid Holocene: Nature dominated environment — human adaptation, mitigation, and migration. In the central Andes, the Holocene climate changed from humid (10,800-8000 BP) to extreme arid (8000-3600 BP) conditions. Over the same period, prehistoric hunting communities adopted a more sedentary pattern of resource use by settling close to the few perennial water bodies, where they began the process of domesticating camelids around 5000 BP and irrigation from about 3100 BP. 2. Historical period: An agrarian society in transition from an "enduring" to an innovative human response. Detailed documentary evidence from Western Europe may be used to reconstruct quite precisely the impacts of climatic variations on agrarian societies. The period considered spans a major transition from an apparently passive response to the vagaries of the environment during the 16th century to an active and innovative attitude from the onset of the agrarian revolution in the late 18th century through to the present day. The associated changes in technology and in agricultural practices helped to create a society better able to survive the impact of climatic extremes. 3. The present day: A human dominated

Using a model of human visual perception to improve deep learning.

Science.gov (United States)

Stettler, Michael; Francis, Gregory

2018-04-17

Deep learning algorithms achieve human-level (or better) performance on many tasks, but there still remain situations where humans learn better or faster. With regard to classification of images, we argue that some of those situations are because the human visual system represents information in a format that promotes good training and classification. To demonstrate this idea, we show how occluding objects can impair performance of a deep learning system that is trained to classify digits in the MNIST database. We describe a human inspired segmentation and interpolation algorithm that attempts to reconstruct occluded parts of an image, and we show that using this reconstruction algorithm to pre-process occluded images promotes training and classification performance. Copyright © 2018 Elsevier Ltd. All rights reserved.

Why do humans behave as they do? Answers based on “human nature" and their critique

Directory of Open Access Journals (Sweden)

Ciro Flamarion Cardoso

2012-12-01

Full Text Available This article focus on one of the possible kinds of answers to the question: what can explain the behavior and the actions of human beings? Namely, it analyses the answers to this question that stress a determinant human nature, be it genetic, otherwise natural, or not clearly attributed to natural factors. Critiques and alternatives, supported by the paper’s author, are also examined.

Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning.

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Jarvers, Christian; Brosch, Tobias; Brechmann, André; Woldeit, Marie L; Schulz, Andreas L; Ohl, Frank W; Lommerzheim, Marcel; Neumann, Heiko

2016-01-01

Biologically plausible modeling of behavioral reinforcement learning tasks has seen great improvements over the past decades. Less work has been dedicated to tasks involving contingency reversals, i.e., tasks in which the original behavioral goal is reversed one or multiple times. The ability to adjust to such reversals is a key element of behavioral flexibility. Here, we investigate the neural mechanisms underlying contingency-reversal tasks. We first conduct experiments with humans and gerbils to demonstrate memory effects, including multiple reversals in which subjects (humans and animals) show a faster learning rate when a previously learned contingency re-appears. Motivated by recurrent mechanisms of learning and memory for object categories, we propose a network architecture which involves reinforcement learning to steer an orienting system that monitors the success in reward acquisition. We suggest that a model sensory system provides feature representations which are further processed by category-related subnetworks which constitute a neural analog of expert networks. Categories are selected dynamically in a competitive field and predict the expected reward. Learning occurs in sequentialized phases to selectively focus the weight adaptation to synapses in the hierarchical network and modulate their weight changes by a global modulator signal. The orienting subsystem itself learns to bias the competition in the presence of continuous monotonic reward accumulation. In case of sudden changes in the discrepancy of predicted and acquired reward the activated motor category can be switched. We suggest that this subsystem is composed of a hierarchically organized network of dis-inhibitory mechanisms, dubbed a dynamic control network (DCN), which resembles components of the basal ganglia. The DCN selectively activates an expert network, corresponding to the current behavioral strategy. The trace of the accumulated reward is monitored such that large sudden

Human/Nature Discourse in Environmental Science Education Resources

Science.gov (United States)

Chambers, Joan M.

2008-01-01

It is argued that the view of nature and the relationship between human beings and nature that each of us holds impacts our decisions, actions, and notions of environmental responsibility and consciousness. In this study, I investigate the discursive patterns of selected environmental science classroom resources produced by three disparate…

Ontological And Anthropological Aspects of the Concept of Human Nature

Directory of Open Access Journals (Sweden)

R. Asha Nimali Fernando

2011-12-01

Full Text Available Anthropology is the study of the origin of the man. It is basically concern with the concept of Homo sapiens, and it is scientifically questioning what are human physical traits as well how do men behave and the variation among different groups of  human with his social and cultural dimensions. Ontology is a subfield in traditional philosophy which is mainly focuses on the nature of being, existence or reality as such. There are some similarities and differences among these two areas. However when we deeply study the philosophical basis of the anthropology it is proof that it was derived from ontology.Anthropology discusses the social and cultural world or the physical entity of human nature. Ontology focuses the invisible aspect of human nature along with the ultimate reality. Therefore, it has a metaphysical aspect of human being; this philosophical notion has in fact, contributed to the development of the subject of anthropology. The present modern day has given very little attention to this philosophical combination of  ontolog y to anthropology, rendering further investigation into the philosophical roots of anthropology.This research paper seeks to evaluate the relationship between ontology and anthropology by paying attention to the ontological arguments about the concept of man and human nature within Greek and modern western thoughts, in comparing with modern anthropological arguments.

Incorporating Real-time Earthquake Information into Large Enrollment Natural Disaster Course Learning

Science.gov (United States)

Furlong, K. P.; Benz, H.; Hayes, G. P.; Villasenor, A.

2010-12-01

Although most would agree that the occurrence of natural disaster events such as earthquakes, volcanic eruptions, and floods can provide effective learning opportunities for natural hazards-based courses, implementing compelling materials into the large-enrollment classroom environment can be difficult. These natural hazard events derive much of their learning potential from their real-time nature, and in the modern 24/7 news-cycle where all but the most devastating events are quickly out of the public eye, the shelf life for an event is quite limited. To maximize the learning potential of these events requires that both authoritative information be available and course materials be generated as the event unfolds. Although many events such as hurricanes, flooding, and volcanic eruptions provide some precursory warnings, and thus one can prepare background materials to place the main event into context, earthquakes present a particularly confounding situation of providing no warning, but where context is critical to student learning. Attempting to implement real-time materials into large enrollment classes faces the additional hindrance of limited internet access (for students) in most lecture classrooms. In Earth 101 Natural Disasters: Hollywood vs Reality, taught as a large enrollment (150+ students) general education course at Penn State, we are collaborating with the USGS’s National Earthquake Information Center (NEIC) to develop efficient means to incorporate their real-time products into learning activities in the lecture hall environment. Over time (and numerous events) we have developed a template for presenting USGS-produced real-time information in lecture mode. The event-specific materials can be quickly incorporated and updated, along with key contextual materials, to provide students with up-to-the-minute current information. In addition, we have also developed in-class activities, such as student determination of population exposure to severe ground

Development of Human Resources Using New Technologies in Long-Life Learning

Directory of Open Access Journals (Sweden)

Micu Bogdan Ghilic

2011-01-01

Full Text Available Information and communication technologies (ICT offer new opportunities to reinvent the education and to make people and makes learning more fun and contemporary but poses many problems to educational institutions. Implementation of ICT determines major structural changes in the organizations and mental switch from bureaucratic mentality to customer-oriented one. In this paper I try to evaluate methods of developing the lifelong learning programs, impact to human resources training and development and the impact of this process on educational institutions. E-learning usage in training the human resources can make a new step in development of the education institutions, human resources and companies.

Human reinforcement learning subdivides structured action spaces by learning effector-specific values

OpenAIRE

Gershman, Samuel J.; Pesaran, Bijan; Daw, Nathaniel D.

2009-01-01

Humans and animals are endowed with a large number of effectors. Although this enables great behavioral flexibility, it presents an equally formidable reinforcement learning problem of discovering which actions are most valuable, due to the high dimensionality of the action space. An unresolved question is how neural systems for reinforcement learning – such as prediction error signals for action valuation associated with dopamine and the striatum – can cope with this “curse of dimensionality...

Learning to Segment Human by Watching YouTube.

Science.gov (United States)

Liang, Xiaodan; Wei, Yunchao; Chen, Yunpeng; Shen, Xiaohui; Yang, Jianchao; Lin, Liang; Yan, Shuicheng

2016-08-05

An intuition on human segmentation is that when a human is moving in a video, the video-context (e.g., appearance and motion clues) may potentially infer reasonable mask information for the whole human body. Inspired by this, based on popular deep convolutional neural networks (CNN), we explore a very-weakly supervised learning framework for human segmentation task, where only an imperfect human detector is available along with massive weakly-labeled YouTube videos. In our solution, the video-context guided human mask inference and CNN based segmentation network learning iterate to mutually enhance each other until no further improvement gains. In the first step, each video is decomposed into supervoxels by the unsupervised video segmentation. The superpixels within the supervoxels are then classified as human or non-human by graph optimization with unary energies from the imperfect human detection results and the predicted confidence maps by the CNN trained in the previous iteration. In the second step, the video-context derived human masks are used as direct labels to train CNN. Extensive experiments on the challenging PASCAL VOC 2012 semantic segmentation benchmark demonstrate that the proposed framework has already achieved superior results than all previous weakly-supervised methods with object class or bounding box annotations. In addition, by augmenting with the annotated masks from PASCAL VOC 2012, our method reaches a new stateof- the-art performance on the human segmentation task.

Flexible learning intinerary vs. linear learning itinerary

OpenAIRE

Martín San José, Juan Fernando; Juan Lizandra, María Carmen; Gil Gómez, Jose Antonio; Rando, Noemí

2014-01-01

The latest video game and entertainment technology and other technologies are facilitating the development of new and powerful e-Learning systems. In this paper, we present a computer-based game for learning about five historical ages. The objective of the game is to reinforce the events that mark the transition from one historical age to another and the order of the historical ages. Our game incorporates natural human-computer interaction based on video game technology, Frontal Projection, a...

Learning Recursion: Multiple Nested and Crossed Dependencies

Directory of Open Access Journals (Sweden)

Meinou de Vries

2011-06-01

Full Text Available Language acquisition in both natural and artificial language learning settings crucially depends on extracting information from ordered sequences. A shared sequence learning mechanism is thus assumed to underlie both natural and artificial language learning. A growing body of empirical evidence is consistent with this hypothesis. By means of artificial language learning experiments, we may therefore gain more insight in this shared mechanism. In this paper, we review empirical evidence from artificial language learning and computational modeling studies, as well as natural language data, and suggest that there are two key factors that help deter-mine processing complexity in sequence learning, and thus in natural language processing. We propose that the specific ordering of non-adjacent dependencies (i.e. nested or crossed, as well as the number of non-adjacent dependencies to be resolved simultaneously (i.e. two or three are important factors in gaining more insight into the boundaries of human sequence learning; and thus, also in natural language processing. The implications for theories of linguistic competence are discussed.

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research

OpenAIRE

Kelling, Steve; Gerbracht, Jeff; Fink, Daniel; Lagoze, Carl; Wong, Weng-Keen; Yu, Jun; Damoulas, Theodoros; Gomes, Carla

2012-01-01

In this paper we describe eBird, a citizen-science project that takes advantage of the human observational capacity to identify birds to species, which is then used to accurately represent patterns of bird occurrences across broad spatial and temporal extents. eBird employs artificial intelligence techniques such as machine learning to improve data quality by taking advantage of the synergies between human computation and mechanical computation. We call this a Human-Computer Learning Network,...

The Human Brain Does Not Need High Levels of Motivation to Learn a Foreign Language: Motivation Has Had Its Day

Science.gov (United States)

Green, Kieran

2016-01-01

Language is nature in action and something humans do. This literature review presents evidence from the literature that suggests that learning a foreign language in a classroom situation does not require high levels of student motivation. It is instead suggested that high levels of motivation are needed to make progress when a teacher is using…

Urgent Biophilia: Human-Nature Interactions and Biological Attractions in Disaster Resilience

Directory of Open Access Journals (Sweden)

Keith G. Tidball

2012-06-01

Full Text Available This contribution builds upon contemporary work on principles of biological attraction as well as earlier work on biophilia while synthesizing literatures on restorative environments, community-based ecological restoration, and both community and social-ecological disaster resilience. It suggests that when humans, faced with a disaster, as individuals and as communities and populations, seek engagement with nature to further their efforts to summon and demonstrate resilience in the face of a crisis, they exemplify an urgent biophilia. This urgent biophilia represents an important set of human-nature interactions in SES characterized by hazard, disaster, or vulnerability, often appearing in the 'backloop' of the adaptive cycle. The relationships that human-nature interactions have to other components within interdependent systems at many different scales may be one critical source of resilience in disaster and related contexts. In other words, the affinity we humans have for the rest of nature, the process of remembering that attraction, and the urge to express it through creation of restorative environments, which may also restore or increase ecological function, may confer resilience across multiple scales. In making this argument, the paper also represents a novel contribution to further theorizing alternatives to anthropocentric understandings of human-nature relations, and strongly makes the case for humans as part of, not separate from, ecosystems.

Human-nature interactions and the consequences and drivers of provisioning wildlife.

Science.gov (United States)

Cox, Daniel T C; Gaston, Kevin J

2018-05-05

Many human populations are undergoing an extinction of experience, with a progressive decline in interactions with nature. This is a consequence both of a loss of opportunity for, and orientation towards, such experiences. The trend is of concern in part because interactions with nature can be good for human health and wellbeing. One potential means of redressing these losses is through the intentional provision of resources to increase wildlife populations in close proximity to people, thereby increasing the potential for positive human-nature experiences, and thence the array of benefits that can result. In this paper, we review the evidence that these resource subsidies have such a cascade of effects. In some Westernized countries, the scale of provision is extraordinarily high, and doubtless leads to both positive and negative impacts for wildlife. In turn, these impacts often lead to more frequent, reliable and closer human-nature interactions, with a greater variety of species. The consequences for human wellbeing remain poorly understood, although benefits documented in the context of human-nature interactions more broadly seem likely to apply. There are also some important feedback loops that need to be better characterized if resource provisioning is to contribute effectively towards averting the extinction of experience.This article is part of the theme issue 'Anthropogenic resource subsidies and host-parasite dynamics in wildlife'. © 2018 The Authors.

Positive Emotion in Nature as a Precursor to Learning

Science.gov (United States)

Coleman, Tamara Chase

2014-01-01

This study was designed to examine the perception of learning in adults generated by the effect of a positive emotion-in this case, awe. For the study, a working definition of awe is an "impact-provoking reverence due to a powerful, positive emotional response to the natural world." This qualitative study used primarily face-to-face…

Semi-supervised learning and domain adaptation in natural language processing

CERN Document Server

Søgaard, Anders

2013-01-01

This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias.This book is intended to be both

Human uniqueness on the brink of a new axial age: From separation to reintegration of humans and nature

Directory of Open Access Journals (Sweden)

Cornel W. du Toit

2016-11-01

Full Text Available Karl Jaspers’ Axial Age concept is used to depict the way humans interact with their environment. The first Axial Age (800-200 BC can be typified among others as the age in which humans started to objectify nature. Nature was dispossessed of spirits, gods and vital forces that humans previously feared and used as explanation for the origin of things. Secularised and objectified nature became a source of wealth for humans to use and abuse as they like. This has peaked in the post-industrial era which also introduced the Second Axial Age in which we presently live. The Second Axial Age can be typified by a new approach to nature mediated among others by insights from the side of the natural sciences, especially developments in cosmology, our understanding of the quantum world and new insights into the nature of consciousness. Another development in the Second Axial Age is the emergence of the nonhuman turn, new materialism, panpsychism, the notion of the post-human and theological concepts like the ‘entangled God’. These developments are discussed with reference to leading thinkers. The nonhuman turn is welcomed as it introduces respect for nature which may contribute to the survival of our planet.

Natural environmental radioactivity and radon gas

International Nuclear Information System (INIS)

Lowder, W.M.

1990-01-01

In recent decades, much has been learned about the nature and sources of human exposure to naturally-occurring radiation and radionuclides. A brief historical perspective is given on this growth of knowledge, and recent assessments of the contributions of the various sources to human population radiation exposure are discussed. This provides the context for a consideration of the significance of exposure to airborne radon decay products for the global population and of future exposure of an increasing number of space travelers to cosmic radiation. (author). 13 refs, 4 tabs

A Human Capabilities Framework for Evaluating Student Learning

Science.gov (United States)

Walker, Melanie

2008-01-01

This paper proposes a human capabilities approach for evaluating student learning and the social and pedagogical arrangements that support equality in capabilities for all students. It outlines the focus on valuable beings and doings in the capability approach developed by Amartya Sen, and Martha Nussbaum's capabilities focus on human flourishing.…

Human dorsal striatum encodes prediction errors during observational learning of instrumental actions.

Science.gov (United States)

Cooper, Jeffrey C; Dunne, Simon; Furey, Teresa; O'Doherty, John P

2012-01-01

The dorsal striatum plays a key role in the learning and expression of instrumental reward associations that are acquired through direct experience. However, not all learning about instrumental actions require direct experience. Instead, humans and other animals are also capable of acquiring instrumental actions by observing the experiences of others. In this study, we investigated the extent to which human dorsal striatum is involved in observational as well as experiential instrumental reward learning. Human participants were scanned with fMRI while they observed a confederate over a live video performing an instrumental conditioning task to obtain liquid juice rewards. Participants also performed a similar instrumental task for their own rewards. Using a computational model-based analysis, we found reward prediction errors in the dorsal striatum not only during the experiential learning condition but also during observational learning. These results suggest a key role for the dorsal striatum in learning instrumental associations, even when those associations are acquired purely by observing others.

Relative significance of natural irradiation vs all human exposures

International Nuclear Information System (INIS)

Jammet, H.

1985-01-01

A review is made of the fundamentals allowing to quantitatively express the importance of the various sources of human exposure by an individual or collective approach. Following a summary of the components of normal exposure to natural sources, the various human actions at the origin of enhanced exposure are studied: 1) those modifying the relationship between natural sources and man (dwelling conditions, coal burning, geothermal energy production, exploitation of phosphate rock); 2) those creating new artificial sources (nuclear explosions in the atmosphere, nuclear power production, medical use of radiation and radionuclides). The effective dose equivalent commitments for these sources are compared with those necessarily involved by continuous normal exposure to the natural sources of exposure [fr

Playing SNES in the Retro Learning Environment

OpenAIRE

Bhonker, Nadav; Rozenberg, Shai; Hubara, Itay

2016-01-01

Mastering a video game requires skill, tactics and strategy. While these attributes may be acquired naturally by human players, teaching them to a computer program is a far more challenging task. In recent years, extensive research was carried out in the field of reinforcement learning and numerous algorithms were introduced, aiming to learn how to perform human tasks such as playing video games. As a result, the Arcade Learning Environment (ALE) (Bellemare et al., 2013) has become a commonly...

Debriefing after Human Patient Simulation and Nursing Students' Learning

Science.gov (United States)

Benhuri, Gloria

2014-01-01

Human Patient Simulation (HPS) exercises with life-like computerized manikins provide clinical experiences for nursing students in a safe environment followed by debriefing that promotes learning. Quantitative research in techniques to support learning from debriefing is limited. The purpose of the quantitative quasi-experimental study using a…

Humanoids Learning to Walk: A Natural CPG-Actor-Critic Architecture.

Science.gov (United States)

Li, Cai; Lowe, Robert; Ziemke, Tom

2013-01-01

The identification of learning mechanisms for locomotion has been the subject of much research for some time but many challenges remain. Dynamic systems theory (DST) offers a novel approach to humanoid learning through environmental interaction. Reinforcement learning (RL) has offered a promising method to adaptively link the dynamic system to the environment it interacts with via a reward-based value system. In this paper, we propose a model that integrates the above perspectives and applies it to the case of a humanoid (NAO) robot learning to walk the ability of which emerges from its value-based interaction with the environment. In the model, a simplified central pattern generator (CPG) architecture inspired by neuroscientific research and DST is integrated with an actor-critic approach to RL (cpg-actor-critic). In the cpg-actor-critic architecture, least-square-temporal-difference based learning converges to the optimal solution quickly by using natural gradient learning and balancing exploration and exploitation. Futhermore, rather than using a traditional (designer-specified) reward it uses a dynamic value function as a stability indicator that adapts to the environment. The results obtained are analyzed using a novel DST-based embodied cognition approach. Learning to walk, from this perspective, is a process of integrating levels of sensorimotor activity and value.

Utilizing Service Learning in a College-Level Human Sexuality Course

Science.gov (United States)

Jenkins, Dusty D.

2017-01-01

Implementing service learning into college courses has been shown to have positive benefits for both students and community members; however, service learning has not been largely evaluated in the literature on human sexuality courses. Thus, the purpose of the current study was to design, implement, and evaluate a service learning project in a…

Test-Enhanced Learning of Natural Concepts: Effects on Recognition Memory, Classification, and Metacognition

Science.gov (United States)

Jacoby, Larry L.; Wahlheim, Christopher N.; Coane, Jennifer H.

2010-01-01

Three experiments examined testing effects on learning of natural concepts and metacognitive assessments of such learning. Results revealed that testing enhanced recognition memory and classification accuracy for studied and novel exemplars of bird families on immediate and delayed tests. These effects depended on the balance of study and test…

TECHNOLOGY VS NATURE: HUMAN ERROR IN DEALING WITH NATURE IN CRICHTON'S JURASSIC PARK

Directory of Open Access Journals (Sweden)

Sarah Prasasti

2000-01-01

Full Text Available Witnessing the euphoria of the era of biotechnology in the late twentieth century, Crichton exposes the theme of biotechnology in his works. In Jurassic Park, he voices his concern about the impact of the use of biotechnology to preserve nature and its living creatures. He further describes how the purpose of preserving nature and the creatures has turned out to be destructive. This article discusses Crichton's main character, Hammond, who attempts to control nature by genetically recreating the extinct fossil animals. It seems that the attempt ignores his human limitations. Although he is confident that has been equipped with the technology, he forgets to get along with nature. His way of using technology to accomplish his purpose proves not to be in harmony with nature. As a consequence, nature fights back. And he is conquered.

Social learning in humans and other animals.

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Jean-François eGariépy

2014-03-01

Full Text Available Decisions made by individuals can be influenced by what others think and do. Social learning includes a wide array of behaviors such as imitation, observational learning of novel foraging techniques, peer or parental influences on individual preferences, as well as outright teaching. These processes are believed to underlie an important part of cultural variation among human populations and may also explain intraspecific variation in behavior between geographically distinct populations of animals. Recent neurobiological studies have begun to uncover the neural basis of social learning. Here we review experimental evidence from the past few decades showing that social learning is a widespread set of skills present in multiple animal species. In mammals, the temporoparietal junction, the dorsomedial and dorsolateral prefrontal cortex, as well as the anterior cingulate gyrus, appear to play critical roles in social learning. Birds, fish and insects also learn from others, but the underlying neural mechanisms remain poorly understood. We discuss the evolutionary implications of these findings and highlight the importance of emerging animal models that permit precise modification of neural circuit function for elucidating the neural basis of social learning.

Human resource management and learning for innovation: pharmaceuticals in Mexico

OpenAIRE

Santiago-Rodriguez, Fernando

2010-01-01

This paper investigates the influence of human resource management on learning from internal and external sources of knowledge. Learning for innovation is a key ingredient of catching-up processes. The analysis builds on survey data about pharmaceutical firms in Mexico. Results show that the influence of human resource management is contingent on the knowledge flows and innovation goals pursued by the firm. Practices such as training-- particularly from external partners; and remuneration for...

Studying human-automation interactions: methodological lessons learned from the human-centred automation experiments 1997-2001

International Nuclear Information System (INIS)

Massaiu, Salvatore; Skjerve, Ann Britt Miberg; Skraaning, Gyrd Jr.; Strand, Stine; Waeroe, Irene

2004-04-01

This report documents the methodological lessons learned from the Human Centred Automation (HCA) programme both in terms of psychometric evaluation of the measurement techniques developed for human-automation interaction study, and in terms of the application of advanced statistical methods for analysis of experiments. The psychometric evaluation is based on data from the four experiments performed within the HCA programme. The result is a single-source reference text of measurement instruments for the study of human-automation interaction, part of which were specifically developed by the programme. The application of advanced statistical techniques is exemplified by additional analyses performed on the IPSN-HCA experiment of 1998. Special importance is given to the statistical technique Structural Equation Modeling, for the possibility it offers to advance, and empirically test, comprehensive explanations about human-automation interactions. The additional analyses of the IPSN-HCA experiment investigated how the operators formed judgments about their own performance. The issue is of substantive interest for human automation interaction research because the operators' over- or underestimation of their own performance could be seen as a symptom of human-machine mismatch, and a potential latent failure. These analyses concluded that it is the interplay between (1) the level of automation and several factors that determines the operators' bias in performance self-estimation: (2) the nature of the task, (3) the level of scenario complexity, and (4) the level of trust in the automatic system. A structural model that expresses the interplay of all these factors was empirically evaluated and was found able to provide a concise and elegant explanation of the intricate pattern of relationships between the identified factors. (Author)

Human Nature and the Social Order | Opafola | Annals of ...

African Journals Online (AJOL)

This paper takes cognizance of the fact that the ideas of human beings or human persons and a social order are mutually re-in forcing or mutually inclusive. It argues that a stable, peaceful, and progressive social order will be promoted to some extent if the differences in the elements of human nature are acknowledged and ...

Natural resources, redistribution and Human capital formation

OpenAIRE

Aguero, Jorge; Balcazar, Carlos Felipe; Maldonado, Stanislao; Ñopo, Hugo

2016-01-01

How do resource booms affect human capital accumulation? We exploit time and spatial variation generated by the commodity boom across local governments in Peru to measure the effect of natural resources on human capital formation. We explore the effect of both mining production and tax revenues on test scores, finding a substantial and statistically significant effect for the latter. Transfers to local governments from mining tax revenues are linked to an increase in math test scores of aroun...

Distancing Students From Nature: Science Camp and the Representation of the Human-Nature Relationship

Science.gov (United States)

Terrill, Laura Anne

This study investigated the curricular representations of the environment and the human-environment relationship at one residential school sponsored science camp. Data gathered included field notes from observational time at the camp, interviews with staff and classroom teachers, and documents from the site's website, guides, manuals, and curricular guides. These data were analyzed to understand how the camp represented the human-environment relationship and the "proper" human-environment relationship to its participants. Analysis indicated that the camp's official and enacted curriculum was shaped in response to two perceived problems, (1) students were perceived as having a disconnected relationship with the outdoors and lacking in outdoor experiences; and (2) staff members of the camp believed that time for science during the school day had diminished and that students were not receiving adequate science instruction at school. In response, the goal of the camp was to connect students to the outdoors through hands-on, sensory, experience based science and outdoor education experiences. However, key aspects of the camp experience and the formal and enacted curriculum unintentionally positioned students as separate from nature. The camp experience presented a vacation like understanding of the human-environment relationship as students became tourists of the outdoors. Despite the site's goal of connecting students to the outdoors, the science camp experience worked to distance students from the outdoors by unintentionally representing the outdoors as a place that existed away from home and students' everyday lives. Notably, nature became a place that existed in the past, separate from modernity. Students were tourists in an exotic location - nature. They received tours of the foreign outdoors, had fun, and returned home to their ordinary lives that were separate and distinct from the natural world.

CONSIDERATIONS REGARDING THE INTEGRATION OF FUNDAMENTAL HUMAN RIGHTS IN THE SYSTEM OF NATURAL LAW

OpenAIRE

Claudiu Ramon D. Butculescu

2016-01-01

This article studies the relationships and interactions between fundamental human rights and natural law school. The objectives of this paper are circumscribed to the way fundamental human rights, by their nature, can be integrated within the doctrine of natural law or to the contrary, may be related to various branches of legal positivism. In specialized literature, it was pointed out that fundamental human rights constitute genuine natural rights which have the same natural law ...

Neuro-Impressions: Interpreting the Nature of Human Creativity

Directory of Open Access Journals (Sweden)

Todd Lael Siler

2012-10-01

Full Text Available Understanding the creative process is essential for realizing human potential. Over the past four decades, the author has explored this subject through his brain-inspired drawings, paintings, symbolic sculptures, and experimental art installations that present myriad impressions of human creativity. These impressionistic artworks interpret rather than illustrate the complexities of the creative process. They draw insights from empirical studies that correlate how human beings create, learn, remember, innovate, and communicate. In addition to offering fresh aesthetic experiences, this metaphorical art raises fundamental questions concerning the deep connections between the brain and its creations. The author describes his artworks as embodiments of everyday observations about the neuropsychology of creativity, and its all-purpose applications for stimulating and accelerating innovation.

Humanoids Learning to Walk: a Natural CPG-Actor-Critic Architecture

Directory of Open Access Journals (Sweden)

CAI eLI

2013-04-01

Full Text Available The identification of learning mechanisms for locomotion has been the subject of much researchfor some time but many challenges remain. Dynamic systems theory (DST offers a novel approach to humanoid learning through environmental interaction. Reinforcement learning (RL has offered a promising method to adaptively link the dynamic system to the environment it interacts with via a reward-based value system.In this paper, we propose a model that integrates the above perspectives and applies it to the case of a humanoid (NAO robot learning to walk the ability of which emerges from its value-based interaction with the environment. In the model,a simplified central pattern generator (CPG architecture inspired by neuroscientific research and DST is integrated with an actor-critic approach to RL (cpg-actor-critic. In the cpg-actor-critic architecture, least-square-temporal-difference (LSTD based learning converges to the optimal solution quickly by using natural gradient and balancing exploration and exploitation. Futhermore, rather than using a traditional (designer-specified reward it uses a dynamic value function as a stability indicator (SI that adapts to the environment.The results obtained are analyzed and explained by using a novel DST embodied cognition approach. Learning to walk, from this perspective, is a process of integrating sensorimotor levels and value.

Movement-related theta rhythm in humans: coordinating self-directed hippocampal learning.

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Raphael Kaplan

Full Text Available The hippocampus is crucial for episodic or declarative memory and the theta rhythm has been implicated in mnemonic processing, but the functional contribution of theta to memory remains the subject of intense speculation. Recent evidence suggests that the hippocampus might function as a network hub for volitional learning. In contrast to human experiments, electrophysiological recordings in the hippocampus of behaving rodents are dominated by theta oscillations reflecting volitional movement, which has been linked to spatial exploration and encoding. This literature makes the surprising cross-species prediction that the human hippocampal theta rhythm supports memory by coordinating exploratory movements in the service of self-directed learning. We examined the links between theta, spatial exploration, and memory encoding by designing an interactive human spatial navigation paradigm combined with multimodal neuroimaging. We used both non-invasive whole-head Magnetoencephalography (MEG to look at theta oscillations and Functional Magnetic Resonance Imaging (fMRI to look at brain regions associated with volitional movement and learning. We found that theta power increases during the self-initiation of virtual movement, additionally correlating with subsequent memory performance and environmental familiarity. Performance-related hippocampal theta increases were observed during a static pre-navigation retrieval phase, where planning for subsequent navigation occurred. Furthermore, periods of the task showing movement-related theta increases showed decreased fMRI activity in the parahippocampus and increased activity in the hippocampus and other brain regions that strikingly overlap with the previously observed volitional learning network (the reverse pattern was seen for stationary periods. These fMRI changes also correlated with participant's performance. Our findings suggest that the human hippocampal theta rhythm supports memory by coordinating

Sequential causal learning in humans and rats

NARCIS (Netherlands)

Lu, H.; Rojas, R.R.; Beckers, T.; Yuille, A.; Love, B.C.; McRae, K.; Sloutsky, V.M.

2008-01-01

Recent experiments (Beckers, De Houwer, Pineño, & Miller, 2005;Beckers, Miller, De Houwer, & Urushihara, 2006) have shown that pretraining with unrelated cues can dramatically influence the performance of humans in a causal learning paradigm and rats in a standard Pavlovian conditioning paradigm.

Natural goodness and the political form of human life

Directory of Open Access Journals (Sweden)

Müller Jan

2015-01-01

Full Text Available Ethical Naturalism attempts to explain the objective normativity effective in human practices by reference to the relation between a living individual and the life-form it exhibits. This explanation falls short in the case of human beings (1 - not merely because of their essential rationality, but because the idea of normativity implicit in practice is dependent on the form of normativity’s being made explicit (2. I argue that this explicit form of normativity’s force and claim - the law in general - implies a tension between an explicit norm’s claim to absoluteness and the particularity of the situational case it is applied to. This tension may seem to produce an inherent violence corrupting the very idea of objective normativity inherent in the human form of life (3; in fact, it shows that the human form of life is essentially political. That the human form of life is essentially political does not contradict the idea of objective normativity - provided that this objectivity is not derived from a conception of “natural goodness”, but rather from the actuality of human practice and its principle, justice (4.

Casual Games and Casual Learning About Human Biological Systems

Science.gov (United States)

Price, C. Aaron; Gean, Katherine; Christensen, Claire G.; Beheshti, Elham; Pernot, Bryn; Segovia, Gloria; Person, Halcyon; Beasley, Steven; Ward, Patricia

2016-02-01

Casual games are everywhere. People play them throughout life to pass the time, to engage in social interactions, and to learn. However, their simplicity and use in distraction-heavy environments can attenuate their potential for learning. This experimental study explored the effects playing an online, casual game has on awareness of human biological systems. Two hundred and forty-two children were given pretests at a Museum and posttests at home after playing either a treatment or control game. Also, 41 children were interviewed to explore deeper meanings behind the test results. Results show modest improvement in scientific attitudes, ability to identify human biological systems and in the children's ability to describe how those systems work together in real-world scenarios. Interviews reveal that children drew upon their prior school learning as they played the game. Also, on the surface they perceived the game as mainly entertainment but were easily able to discern learning outcomes when prompted. Implications for the design of casual games and how they can be used to enhance transfer of knowledge from the classroom to everyday life are discussed.

Teaching medical humanities in the digital world: affordances of technology-enhanced learning.

Science.gov (United States)

Kemp, Sandra Joy; Day, Giskin

2014-12-01

Medical humanities courses are typically taught in face-to-face teaching environments, but now medical humanities educators, alongside educators from other disciplines, are facing shifts in higher education towards online (and sometimes open) courses. For the medical humanities educator, there is limited guidance regarding how technology-enhanced learning design can support the learning outcomes associated with medical humanities. This article aims to provide useful direction for such educators on how digital technologies can be used through learner-focused pedagogies. Specific examples are provided as to how the affordances of Web 2.0 and other tools can be realised in innovative ways to help achieve skills development within the medical humanities. The guidance, alongside the practical suggestions for implementation, can provide important conceptual background for medical humanities educators who wish to embrace technology-enhanced learning, and reconceptualise or redesign medical humanities for an online or blended teaching environment. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Artificial Intelligence and Educational Technology: A Natural Synergy. Extended Abstract.

Science.gov (United States)

McCalla, Gordon I.

Educational technology and artificial intelligence (AI) are natural partners in the development of environments to support human learning. Designing systems with the characteristics of a rich learning environment is the long term goal of research in intelligent tutoring systems (ITS). Building these characteristics into a system is extremely…

VOLTAIRE’S PHILOSOPHY: HUMAN NATURE AND INTERPRETATION OF RELIGION

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Yu. Zimaryova

2013-12-01

Full Text Available The purpose of the article is to determine and reconsider Voltaire’s ideas concerning religion and human nature. In order to achieve this purpose it is necessary to complete the following tasks: to analyse academic literature on Voltaire’s interpretation of the phenomenon of religion; to expose Voltaire’s basic ideas about human nature; to substantiate the importance of anthropological approach to the phenomenon of religion with the ideas of Voltaire’s philosophical works. Methodology. The achievements of anthropocentric philosophical thought of the XIX century possess great potential in the process of constructive comprehension and theoretical reconstruction of the anthropological intention that accompanies the process of philosophising. The research extensively applies hermeneutical method for interpreting Voltaire’s philosophy. Scientific novelty. In academic literature on Voltaire’s works we have ascertained the basic anthropological component of his philosophy and reconsider Voltaire’s ideas about religion as something that is rooted in human nature. Conclusions. In academic literature the interpretation of the phenomenon of religion in Voltaire’s heritage is a rather controversial one. At the one hand, Voltaire criticizes religion for its superstitions and fanaticism. On the other hand, he recognises the existence of God. In our opinion, the phenomenon of religion should be examined in the context of human nature and basic problems related to it such as the problem of soul and the problem of free will. The anthropological approach to the phenomenon of religion allows to avoid the extremity of atheistic and metaphysical approaches and to enable its anthropological interpretation.

Social Fear Learning: from Animal Models to Human Function.

Science.gov (United States)

Debiec, Jacek; Olsson, Andreas

2017-07-01

Learning about potential threats is critical for survival. Learned fear responses are acquired either through direct experiences or indirectly through social transmission. Social fear learning (SFL), also known as vicarious fear learning, is a paradigm successfully used for studying the transmission of threat information between individuals. Animal and human studies have begun to elucidate the behavioral, neural and molecular mechanisms of SFL. Recent research suggests that social learning mechanisms underlie a wide range of adaptive and maladaptive phenomena, from supporting flexible avoidance in dynamic environments to intergenerational transmission of trauma and anxiety disorders. This review discusses recent advances in SFL studies and their implications for basic, social and clinical sciences. Copyright © 2017 Elsevier Ltd. All rights reserved.

The Nature of E-Learning Adoption by Stakeholders of a University in Africa

Science.gov (United States)

Ansong, Eric; Boateng, Richard; Boateng, Sheena L.; Anderson, Augustus B.

2017-01-01

Studies looking at the nature of technology adoption from a multi-dimensional perspective have remained below expectation especially in African countries. This study, therefore, sought to explore the nature of e-learning adoption in the University of Ghana using a multi-stakeholder approach. A quantitative survey approach was adopted for this…

Identification of a natural human serotype 3 parainfluenza virus

Directory of Open Access Journals (Sweden)

Wang Xiao-Jing

2011-02-01

Full Text Available Abstract Parainfluenza virus is an important pathogen threatening the health of animals and human, which brings human many kinds of disease, especially lower respiratory tract infection involving infants and young children. In order to control the virus, it is necessary to fully understand the molecular basis resulting in the genetic diversity of the virus. Homologous recombination is one of mechanisms for the rapid change of genetic diversity. However, as a negative-strand virus, it is unknown whether the recombination can naturally take place in human PIV. In this study, we isolated and identified a mosaic serotype 3 human PIV (HPIV3 from in China, and also provided several putative PIV mosaics from previous reports to reveal that the recombination can naturally occur in the virus. In addition, two swine PIV3 isolates transferred from cattle to pigs were found to have mosaic genomes. These results suggest that homologous recombination can promote the genetic diversity and potentially bring some novel biologic characteristics of HPIV.

The Human-Nature Relationship and Its Impact on Health: A Critical Review.

Science.gov (United States)

Seymour, Valentine

2016-01-01

Within the past four decades, research has been increasingly drawn toward understanding whether there is a link between the changing human-nature relationship and its impact on people's health. However, to examine whether there is a link requires research of its breadth and underlying mechanisms from an interdisciplinary approach. This article begins by reviewing the debates concerning the human-nature relationship, which are then critiqued and redefined from an interdisciplinary perspective. The concept and chronological history of "health" is then explored, based on the World Health Organization's definition. Combining these concepts, the human-nature relationship and its impact on human's health are then explored through a developing conceptual model. It is argued that using an interdisciplinary perspective can facilitate a deeper understanding of the complexities involved for attaining optimal health at the human-environmental interface.

Online sparse Gaussian process based human motion intent learning for an electrically actuated lower extremity exoskeleton.

Science.gov (United States)

Long, Yi; Du, Zhi-Jiang; Chen, Chao-Feng; Dong, Wei; Wang, Wei-Dong

2017-07-01

The most important step for lower extremity exoskeleton is to infer human motion intent (HMI), which contributes to achieve human exoskeleton collaboration. Since the user is in the control loop, the relationship between human robot interaction (HRI) information and HMI is nonlinear and complicated, which is difficult to be modeled by using mathematical approaches. The nonlinear approximation can be learned by using machine learning approaches. Gaussian Process (GP) regression is suitable for high-dimensional and small-sample nonlinear regression problems. GP regression is restrictive for large data sets due to its computation complexity. In this paper, an online sparse GP algorithm is constructed to learn the HMI. The original training dataset is collected when the user wears the exoskeleton system with friction compensation to perform unconstrained movement as far as possible. The dataset has two kinds of data, i.e., (1) physical HRI, which is collected by torque sensors placed at the interaction cuffs for the active joints, i.e., knee joints; (2) joint angular position, which is measured by optical position sensors. To reduce the computation complexity of GP, grey relational analysis (GRA) is utilized to specify the original dataset and provide the final training dataset. Those hyper-parameters are optimized offline by maximizing marginal likelihood and will be applied into online GP regression algorithm. The HMI, i.e., angular position of human joints, will be regarded as the reference trajectory for the mechanical legs. To verify the effectiveness of the proposed algorithm, experiments are performed on a subject at a natural speed. The experimental results show the HMI can be obtained in real time, which can be extended and employed in the similar exoskeleton systems.

Human Factors Throughout the Life Cycle: Lessons Learned from the Shuttle Program. [Human Factors in Ground Processing

Science.gov (United States)

Kanki, Barbara G.

2011-01-01

With the ending of the Space Shuttle Program, it is critical that we not forget the Human Factors lessons we have learned over the years. At every phase of the life cycle, from manufacturing, processing and integrating vehicle and payload, to launch, flight operations, mission control and landing, hundreds of teams have worked together to achieve mission success in one of the most complex, high-risk socio-technical enterprises ever designed. Just as there was great diversity in the types of operations performed at every stage, there was a myriad of human factors that could further complicate these human systems. A single mishap or close call could point to issues at the individual level (perceptual or workload limitations, training, fatigue, human error susceptibilities), the task level (design of tools, procedures and aspects of the workplace), as well as the organizational level (appropriate resources, safety policies, information access and communication channels). While we have often had to learn through human mistakes and technological failures, we have also begun to understand how to design human systems in which individuals can excel, where tasks and procedures are not only safe but efficient, and how organizations can foster a proactive approach to managing risk and supporting human enterprises. Panelists will talk about their experiences as they relate human factors to a particular phase of the shuttle life cycle. They will conclude with a framework for tying together human factors lessons-learned into system-level risk management strategies.

Can theories of animal discrimination explain perceptual learning in humans?

Science.gov (United States)

Mitchell, Chris; Hall, Geoffrey

2014-01-01

We present a review of recent studies of perceptual learning conducted with nonhuman animals. The focus of this research has been to elucidate the mechanisms by which mere exposure to a pair of similar stimuli can increase the ease with which those stimuli are discriminated. These studies establish an important role for 2 mechanisms, one involving inhibitory associations between the unique features of the stimuli, the other involving a long-term habituation process that enhances the relative salience of these features. We then examine recent work investigating equivalent perceptual learning procedures with human participants. Our aim is to determine the extent to which the phenomena exhibited by people are susceptible to explanation in terms of the mechanisms revealed by the animal studies. Although we find no evidence that associative inhibition contributes to the perceptual learning effect in humans, initial detection of unique features (those that allow discrimination between 2 similar stimuli) appears to depend on an habituation process. Once the unique features have been detected, a tendency to attend to those features and to learn about their properties enhances subsequent discrimination. We conclude that the effects obtained with humans engage mechanisms additional to those seen in animals but argue that, for the most part, these have their basis in learning processes that are common to animals and people. In a final section, we discuss some implications of this analysis of perceptual learning for other aspects of experimental psychology and consider some potential applications. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction

Science.gov (United States)

Alshare, Khaled A.; Freeze, Ronald D.; Lane, Peggy L.; Wen, H. Joseph

2011-01-01

Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self-management of learning, and perceived Web self-efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model…

Learning Science: Some Insights from Cognitive Science

Science.gov (United States)

Matthews, P. S. C.

Theories of teaching and learning, including those associated with constructivism, often make no overt reference to an underlying assumption that they make; that is, human cognition depends on domain-free, general-purpose processing by the brain. This assumption is shown to be incompatible with evidence from studies of children's early learning. Rather, cognition is modular in nature, and often domain-specific. Recognition of modularity requires a re-evaluation of some aspects of current accounts of learning science. Especially, children's ideas in science are sometimes triggered rather than learned. It is in the nature of triggered conceptual structures that they are not necessarily expressible in language, and that they may not be susceptible to change by later learning.

Human resource recommendation algorithm based on ensemble learning and Spark

Science.gov (United States)

Cong, Zihan; Zhang, Xingming; Wang, Haoxiang; Xu, Hongjie

2017-08-01

Aiming at the problem of “information overload” in the human resources industry, this paper proposes a human resource recommendation algorithm based on Ensemble Learning. The algorithm considers the characteristics and behaviours of both job seeker and job features in the real business circumstance. Firstly, the algorithm uses two ensemble learning methods-Bagging and Boosting. The outputs from both learning methods are then merged to form user interest model. Based on user interest model, job recommendation can be extracted for users. The algorithm is implemented as a parallelized recommendation system on Spark. A set of experiments have been done and analysed. The proposed algorithm achieves significant improvement in accuracy, recall rate and coverage, compared with recommendation algorithms such as UserCF and ItemCF.

Intelligent Fuzzy Spelling Evaluator for e-Learning Systems

Science.gov (United States)

Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan

2016-01-01

Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…

Human Nature in the Adaptation of Trust

NARCIS (Netherlands)

Nooteboom, B.

2006-01-01

This chapter pleads for more inspiration from human nature, in agent-based modeling.As an illustration of an effort in that direction, it summarizes and discusses an agentbased model of the build-up and adaptation of trust between multiple producers and suppliers.The central question is whether, and

Modeling human learning involved in car driving

NARCIS (Netherlands)

Wewerinke, P.H.

1994-01-01

In this paper, car driving is considered at the level of human tracking and maneuvering in the context of other traffic. A model analysis revealed the most salient features determining driving performance and safety. Learning car driving is modelled based on a system theoretical approach and based

The worth of land use: a GIS-emergy evaluation of natural and human-made capital.

Science.gov (United States)

Mellino, Salvatore; Buonocore, Elvira; Ulgiati, Sergio

2015-02-15

Natural systems make their natural capital and ecosystem services available to human economy. A careful analysis of the interplay between natural and human-made capital is needed to prevent natural capital being overexploited for present economic benefits, affecting lifestyles and wellbeing of future generations. In this study, the emergy synthesis is used to evaluate the natural and the human-made capital of Campania region (southern Italy) by accounting for the environmental support directly and indirectly provided by nature to resource generation. Furthermore, geographic information system (GIS) models are integrated with the emergy accounting procedure to generate maps of the spatial patterns of both natural and human-made capital distribution. Regional storages of natural and human-made capital are identified and evaluated in emergy units (seJ). The human-made capital of the Campania region (6.29E+24seJ) results to be about 11 times higher than the natural capital (5.69E+23seJ) due to the past and present exploitation of the natural resources needed to generate it over time. Moreover, by overlaying the total natural capital map and the total human-made capital map with a map of the protected areas within the region, only the 19% of the regional natural capital appears to be concentrated within protected areas, while most of it (81%) is concentrated outside. These findings suggest that the conservation of natural resources is also necessary outside protected areas by means of suitable policies, directives and investments. The human-made capital is mainly concentrated (88%) inside non-protected areas and interacts with the local natural capital. A management of the interactions between the two categories of wealth is crucial to prevent that the growth of human-made storages degrades the natural ecosystems and the environment. The proposed emergy-GIS framework reveals to be a useful tool for environmental planning and resource management aimed to conserve and

A Cultural Historical Activity Theory Approach in Natural Sciences Education Laboratory Lessons towards Reforming Teachers Training

Science.gov (United States)

Kolokouri, Eleni; Theodoraki, Xarikleia; Plakitsi, Katerina

2012-01-01

This paper focuses on connecting natural sciences education with Cultural Historical Activity Theory (CHAT). In this sense, natural sciences education is considered as a lifelong learning procedure, not seen as an individual but as a collective activity. Moreover, learning becomes a human activity in which theory and praxis are strongly connected…

Linking human and natural systems in the planning process

Science.gov (United States)

Susan I. Stewart; Miranda H. Mockrin; Roger B. Hammer

2012-01-01

Planning links human and natural systems in the urban-rural interface by engaging people in consideration of the future of natural resources. We review evolving ideas about what planning entails, who it involves, and what its outcomes should be. Sense of place, collaboration, emergent planning, and other new developments in planning are discussed. Smaller plans,...

An Alternative to Liquid Human Nature at the Crossroads of the Technological Era

Directory of Open Access Journals (Sweden)

José Antonio Santos Arnaiz

2017-08-01

Full Text Available This paper discusses the idea of an ethic of weakness, expressing distrust about the rise of exacerbated capitalist individualism that drives a technological perfectionism. The extended modernity, as uncompleted project, provides context around the strong separation between humanity and nature. Both concepts posts in relation to perfectionism of the human beings eventually devalue and even deny a more or less permanent human nature. It therefore urges return to a concept of human nature understood as the development program of a free human being, which includes a number of common elements due to genotypic and phenotypic traits, while an ontological concept of human dignity that stems from political equity of all human beings. Historical time must be rethought to make ethical, medical and legal decisions in technology with prudence and responsibility, considering that unfortunately processes undertaken are irreversible.

Stealth and Natural Disasters: Science, Policy and Human Behavior

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Kieffer, S. W.

2008-12-01

Geophysicists, earth scientists, and other natural scientists play a key role in studying disasters, and are challenged to convey the science to the public and policy makers (including government and business). I have found it useful to introduce the concept of two general types of disasters to these audiences: natural and stealth. Natural disasters are geological phenomena over which we humans have some, but relatively little, control. Earthquakes, tsunamis, floods and volcanic eruptions are the most familiar examples, but exogenous events such as meteorite impacts, solar flares, and supernovae are also possibly disruptive. Natural disasters typically have an abrupt onset, cause immediate major change, are familiar from the historic record, and get much media and public attention. They cannot be prevented, but preplanning can ameliorate their effects. Natural disasters are increasingly amplified by us (humans), and we are increasingly affected by them due to our expanding presence on the planet. Less familiar disasters are unfolding in the near-term, but they are not happening in the minds of most people. They are approaching us stealthily, and for this reason I propose that we call them stealth disasters. They differ from natural disasters in several important ways: stealth disasters are primarily caused by, or driven by, the interaction of humans with complex cycles of processes on the planet. Examples are: fresh water shortages and contamination, soil degradation and loss, climate changes, ocean degradation. The onset of stealth disasters is incremental rather than abrupt. They may not unfold significantly during the course of one term of political office, but they are unfolding in our lifetime. We as individuals may or may not escape their consequences, but they will affect our children and grandchildren. If humans are familiar with stealth disasters at all, it is from a relatively local experience, e.g., flooding of the Mississippi or the Dust Bowl in the U

Understanding Collective Learning and Human Agency in Diverse ...

African Journals Online (AJOL)

2018-05-07

May 7, 2018 ... made between students' lives, their African identities and local natural places. Introduction to the Think Piece Collection: 'Collective Learning and Change ... is increasingly recognised in the social-ecological and global change sciences. For example, ..... processes that allow for the change agent to act.

A dictionary learning approach for human sperm heads classification.

Science.gov (United States)

Shaker, Fariba; Monadjemi, S Amirhassan; Alirezaie, Javad; Naghsh-Nilchi, Ahmad Reza

2017-12-01

To diagnose infertility in men, semen analysis is conducted in which sperm morphology is one of the factors that are evaluated. Since manual assessment of sperm morphology is time-consuming and subjective, automatic classification methods are being developed. Automatic classification of sperm heads is a complicated task due to the intra-class differences and inter-class similarities of class objects. In this research, a Dictionary Learning (DL) technique is utilized to construct a dictionary of sperm head shapes. This dictionary is used to classify the sperm heads into four different classes. Square patches are extracted from the sperm head images. Columnized patches from each class of sperm are used to learn class-specific dictionaries. The patches from a test image are reconstructed using each class-specific dictionary and the overall reconstruction error for each class is used to select the best matching class. Average accuracy, precision, recall, and F-score are used to evaluate the classification method. The method is evaluated using two publicly available datasets of human sperm head shapes. The proposed DL based method achieved an average accuracy of 92.2% on the HuSHeM dataset, and an average recall of 62% on the SCIAN-MorphoSpermGS dataset. The results show a significant improvement compared to a previously published shape-feature-based method. We have achieved high-performance results. In addition, our proposed approach offers a more balanced classifier in which all four classes are recognized with high precision and recall. In this paper, we use a Dictionary Learning approach in classifying human sperm heads. It is shown that the Dictionary Learning method is far more effective in classifying human sperm heads than classifiers using shape-based features. Also, a dataset of human sperm head shapes is introduced to facilitate future research. Copyright © 2017 Elsevier Ltd. All rights reserved.

Social Learning, Natural Resource Management, and Participatory Activities: A reflection on construct development and testing

NARCIS (Netherlands)

Rodela, R.

2014-01-01

This analysis reflects on the use of multidimensional constructs for the study of social learning in natural resource management. Insight from deliberative democracy and adult learning literature are used to ground the identified four dimensions (the moral dimension the cognitive dimension, the

Multi-task learning with group information for human action recognition

Science.gov (United States)

Qian, Li; Wu, Song; Pu, Nan; Xu, Shulin; Xiao, Guoqiang

2018-04-01

Human action recognition is an important and challenging task in computer vision research, due to the variations in human motion performance, interpersonal differences and recording settings. In this paper, we propose a novel multi-task learning framework with group information (MTL-GI) for accurate and efficient human action recognition. Specifically, we firstly obtain group information through calculating the mutual information according to the latent relationship between Gaussian components and action categories, and clustering similar action categories into the same group by affinity propagation clustering. Additionally, in order to explore the relationships of related tasks, we incorporate group information into multi-task learning. Experimental results evaluated on two popular benchmarks (UCF50 and HMDB51 datasets) demonstrate the superiority of our proposed MTL-GI framework.

Associationism and cognition: human contingency learning at 25.

Science.gov (United States)

Shanks, David R

2007-03-01

A major topic within human learning, the field of contingency judgement, began to emerge about 25 years ago following publication of an article on depressive realism by Alloy and Abramson (1979). Subsequently, associationism has been the dominant theoretical framework for understanding contingency learning but this has been challenged in recent years by an alternative cognitive or inferential approach. This article outlines the key conceptual differences between these approaches and summarizes some of the main methods that have been employed to distinguish between them.

Management Education: Reflective Learning on Human Interaction

Science.gov (United States)

Clydesdale, Greg

2016-01-01

Purpose: This paper aims to describe an attempt to develop a more effective technique to teach self-awareness and relationship skills. Design/methodology/approach: A journal is used in combination with a model of human nature. The model lists human characteristics that the management trainee must identify in themselves and others they interact…

On Learning Natural-Science Categories That Violate the Family-Resemblance Principle.

Science.gov (United States)

Nosofsky, Robert M; Sanders, Craig A; Gerdom, Alex; Douglas, Bruce J; McDaniel, Mark A

2017-01-01

The general view in psychological science is that natural categories obey a coherent, family-resemblance principle. In this investigation, we documented an example of an important exception to this principle: Results of a multidimensional-scaling study of igneous, metamorphic, and sedimentary rocks (Experiment 1) suggested that the structure of these categories is disorganized and dispersed. This finding motivated us to explore what might be the optimal procedures for teaching dispersed categories, a goal that is likely critical to science education in general. Subjects in Experiment 2 learned to classify pictures of rocks into compact or dispersed high-level categories. One group learned the categories through focused high-level training, whereas a second group was required to simultaneously learn classifications at a subtype level. Although high-level training led to enhanced performance when the categories were compact, subtype training was better when the categories were dispersed. We provide an interpretation of the results in terms of an exemplar-memory model of category learning.

From Human Nature to Moral Judgments : Reframing Debates about Disability and Enhancement

NARCIS (Netherlands)

Harnacke, C.E.

2015-01-01

My goal in my dissertation is to develop an account of how a theory of human nature should be integrated into bioethics and to show what bioethics can gain from using this account. I explore the relevance of human nature for moral argumentation, and especially for bioethics. Thereby, I focus on

Hedging Your Bets by Learning Reward Correlations in the Human Brain

Science.gov (United States)

Wunderlich, Klaus; Symmonds, Mkael; Bossaerts, Peter; Dolan, Raymond J.

2011-01-01

Summary Human subjects are proficient at tracking the mean and variance of rewards and updating these via prediction errors. Here, we addressed whether humans can also learn about higher-order relationships between distinct environmental outcomes, a defining ecological feature of contexts where multiple sources of rewards are available. By manipulating the degree to which distinct outcomes are correlated, we show that subjects implemented an explicit model-based strategy to learn the associated outcome correlations and were adept in using that information to dynamically adjust their choices in a task that required a minimization of outcome variance. Importantly, the experimentally generated outcome correlations were explicitly represented neuronally in right midinsula with a learning prediction error signal expressed in rostral anterior cingulate cortex. Thus, our data show that the human brain represents higher-order correlation structures between rewards, a core adaptive ability whose immediate benefit is optimized sampling. PMID:21943609

Observing tutorial dialogues collaboratively: insights about human tutoring effectiveness from vicarious learning.

Science.gov (United States)

Chi, Michelene T H; Roy, Marguerite; Hausmann, Robert G M

2008-03-01

The goals of this study are to evaluate a relatively novel learning environment, as well as to seek greater understanding of why human tutoring is so effective. This alternative learning environment consists of pairs of students collaboratively observing a videotape of another student being tutored. Comparing this collaboratively observing environment to four other instructional methods-one-on-one human tutoring, observing tutoring individually, collaborating without observing, and studying alone-the results showed that students learned to solve physics problems just as effectively from observing tutoring collaboratively as the tutees who were being tutored individually. We explain the effectiveness of this learning environment by postulating that such a situation encourages learners to become active and constructive observers through interactions with a peer. In essence, collaboratively observing combines the benefit of tutoring with the benefit of collaborating. The learning outcomes of the tutees and the collaborative observers, along with the tutoring dialogues, were used to further evaluate three hypotheses explaining why human tutoring is an effective learning method. Detailed analyses of the protocols at several grain sizes suggest that tutoring is effective when tutees are independently or jointly constructing knowledge: with the tutor, but not when the tutor independently conveys knowledge. 2008 Cognitive Science Society, Inc.

Combining fMRI and behavioral measures to examine the process of human learning.

Science.gov (United States)

Karuza, Elisabeth A; Emberson, Lauren L; Aslin, Richard N

2014-03-01

Prior to the advent of fMRI, the primary means of examining the mechanisms underlying learning were restricted to studying human behavior and non-human neural systems. However, recent advances in neuroimaging technology have enabled the concurrent study of human behavior and neural activity. We propose that the integration of behavioral response with brain activity provides a powerful method of investigating the process through which internal representations are formed or changed. Nevertheless, a review of the literature reveals that many fMRI studies of learning either (1) focus on outcome rather than process or (2) are built on the untested assumption that learning unfolds uniformly over time. We discuss here various challenges faced by the field and highlight studies that have begun to address them. In doing so, we aim to encourage more research that examines the process of learning by considering the interrelation of behavioral measures and fMRI recording during learning. Copyright © 2013 Elsevier Inc. All rights reserved.

Intrinsic interactive reinforcement learning - Using error-related potentials for real world human-robot interaction.

Science.gov (United States)

Kim, Su Kyoung; Kirchner, Elsa Andrea; Stefes, Arne; Kirchner, Frank

2017-12-14

Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in dynamic environments based on feedback. Explicit human feedback during robot RL is advantageous, since an explicit reward function can be easily adapted. However, it is very demanding and tiresome for a human to continuously and explicitly generate feedback. Therefore, the development of implicit approaches is of high relevance. In this paper, we used an error-related potential (ErrP), an event-related activity in the human electroencephalogram (EEG), as an intrinsically generated implicit feedback (rewards) for RL. Initially we validated our approach with seven subjects in a simulated robot learning scenario. ErrPs were detected online in single trial with a balanced accuracy (bACC) of 91%, which was sufficient to learn to recognize gestures and the correct mapping between human gestures and robot actions in parallel. Finally, we validated our approach in a real robot scenario, in which seven subjects freely chose gestures and the real robot correctly learned the mapping between gestures and actions (ErrP detection (90% bACC)). In this paper, we demonstrated that intrinsically generated EEG-based human feedback in RL can successfully be used to implicitly improve gesture-based robot control during human-robot interaction. We call our approach intrinsic interactive RL.

Human Systems Integration in Practice: Constellation Lessons Learned

Science.gov (United States)

Zumbado, Jennifer Rochlis

2012-01-01

NASA's Constellation program provided a unique testbed for Human Systems Integration (HSI) as a fundamental element of the Systems Engineering process. Constellation was the first major program to have HSI mandated by NASA's Human Rating document. Proper HSI is critical to the success of any project that relies on humans to function as operators, maintainers, or controllers of a system. HSI improves mission, system and human performance, significantly reduces lifecycle costs, lowers risk and minimizes re-design. Successful HSI begins with sufficient project schedule dedicated to the generation of human systems requirements, but is by no means solely a requirements management process. A top-down systems engineering process that recognizes throughout the organization, human factors as a technical discipline equal to traditional engineering disciplines with authority for the overall system. This partners with a bottoms-up mechanism for human-centered design and technical issue resolution. The Constellation Human Systems Integration Group (HSIG) was a part of the Systems Engineering and Integration (SE&I) organization within the program office, and existed alongside similar groups such as Flight Performance, Environments & Constraints, and Integrated Loads, Structures and Mechanisms. While the HSIG successfully managed, via influence leadership, a down-and-in Community of Practice to facilitate technical integration and issue resolution, it lacked parallel top-down authority to drive integrated design. This presentation will discuss how HSI was applied to Constellation, the lessons learned and best practices it revealed, and recommendations to future NASA program and project managers. This presentation will discuss how Human Systems Integration (HSI) was applied to NASA's Constellation program, the lessons learned and best practices it revealed, and recommendations to future NASA program and project managers on how to accomplish this critical function.

Protection of the human race against natural hazards (asteroids, comets, volcanoes, earthquakes)

Science.gov (United States)

Smith, Joseph V.

1985-10-01

Although we justifiably worry about the danger of nuclear war to civilization, and perhaps even to survival of the human race, we tend to consider natural hazards (e.g., comets, asteroids, volcanoes, earthquakes) as unavoidable acts of God. In any human lifetime, a truly catastrophic natural event is very unlikely, but ultimately one will occur. For the first time in human history we have sufficient technical skills to begin protection of Earth from some natural hazards. We could decide collectively throughout the world to reassign resources: in particular, reduction of nuclear and conventional weapons to a less dangerous level would allow concomitant increase of international programs for detection and prevention of natural hazards. Worldwide cooperation to mitigate natural hazards might help psychologically to lead us away from the divisive bickering that triggers wars. Future generations could hail us as pioneers of peace and safety rather than curse us as agents of death and destruction.

Revisit of Machine Learning Supported Biological and Biomedical Studies.

Science.gov (United States)

Yu, Xiang-Tian; Wang, Lu; Zeng, Tao

2018-01-01

Generally, machine learning includes many in silico methods to transform the principles underlying natural phenomenon to human understanding information, which aim to save human labor, to assist human judge, and to create human knowledge. It should have wide application potential in biological and biomedical studies, especially in the era of big biological data. To look through the application of machine learning along with biological development, this review provides wide cases to introduce the selection of machine learning methods in different practice scenarios involved in the whole biological and biomedical study cycle and further discusses the machine learning strategies for analyzing omics data in some cutting-edge biological studies. Finally, the notes on new challenges for machine learning due to small-sample high-dimension are summarized from the key points of sample unbalance, white box, and causality.

Human-simulation-based learning to prevent medication error: A systematic review.

Science.gov (United States)

Sarfati, Laura; Ranchon, Florence; Vantard, Nicolas; Schwiertz, Vérane; Larbre, Virginie; Parat, Stéphanie; Faudel, Amélie; Rioufol, Catherine

2018-01-31

In the past 2 decades, there has been an increasing interest in simulation-based learning programs to prevent medication error (ME). To improve knowledge, skills, and attitudes in prescribers, nurses, and pharmaceutical staff, these methods enable training without directly involving patients. However, best practices for simulation for healthcare providers are as yet undefined. By analysing the current state of experience in the field, the present review aims to assess whether human simulation in healthcare helps to reduce ME. A systematic review was conducted on Medline from 2000 to June 2015, associating the terms "Patient Simulation," "Medication Errors," and "Simulation Healthcare." Reports of technology-based simulation were excluded, to focus exclusively on human simulation in nontechnical skills learning. Twenty-one studies assessing simulation-based learning programs were selected, focusing on pharmacy, medicine or nursing students, or concerning programs aimed at reducing administration or preparation errors, managing crises, or learning communication skills for healthcare professionals. The studies varied in design, methodology, and assessment criteria. Few demonstrated that simulation was more effective than didactic learning in reducing ME. This review highlights a lack of long-term assessment and real-life extrapolation, with limited scenarios and participant samples. These various experiences, however, help in identifying the key elements required for an effective human simulation-based learning program for ME prevention: ie, scenario design, debriefing, and perception assessment. The performance of these programs depends on their ability to reflect reality and on professional guidance. Properly regulated simulation is a good way to train staff in events that happen only exceptionally, as well as in standard daily activities. By integrating human factors, simulation seems to be effective in preventing iatrogenic risk related to ME, if the program is

Human simulations of vocabulary learning.

Science.gov (United States)

Gillette, J; Gleitman, H; Gleitman, L; Lederer, A

1999-12-07

The work reported here experimentally investigates a striking generalization about vocabulary acquisition: Noun learning is superior to verb learning in the earliest moments of child language development. The dominant explanation of this phenomenon in the literature invokes differing conceptual requirements for items in these lexical categories: Verbs are cognitively more complex than nouns and so their acquisition must await certain mental developments in the infant. In the present work, we investigate an alternative hypothesis; namely, that it is the information requirements of verb learning, not the conceptual requirements, that crucially determine the acquisition order. Efficient verb learning requires access to structural features of the exposure language and thus cannot take place until a scaffolding of noun knowledge enables the acquisition of clause-level syntax. More generally, we experimentally investigate the hypothesis that vocabulary acquisition takes place via an incremental constraint-satisfaction procedure that bootstraps itself into successively more sophisticated linguistic representations which, in turn, enable new kinds of vocabulary learning. If the experimental subjects were young children, it would be difficult to distinguish between this information-centered hypothesis and the conceptual change hypothesis. Therefore the experimental "learners" are adults. The items to be "acquired" in the experiments were the 24 most frequent nouns and 24 most frequent verbs from a sample of maternal speech to 18-24-month-old infants. The various experiments ask about the kinds of information that will support identification of these words as they occur in mother-to-child discourse. Both the proportion correctly identified and the type of word that is identifiable changes significantly as a function of information type. We discuss these results as consistent with the incremental construction of a highly lexicalized grammar by cognitively and pragmatically

Deep learning

CERN Document Server

Goodfellow, Ian; Courville, Aaron

2016-01-01

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language proces...

Maslow Revisited: Constructing a Road Map of Human Nature

Science.gov (United States)

O'Connor, Dennis; Yballe, Leodones

2007-01-01

Given the scope and intent of Maslow's work, the current textbook treatment is wanting. Therefore, an inductive exercise has been created and is offered here to build "the road map of human nature." This age-old, philosophic focus on our true nature has been a way to successfully engage and inspire both our students and our pedagogy. In the spirit…

The Law Review Approach: What the Humanities Can Learn

Science.gov (United States)

Mendenhall, Allen

2013-01-01

Readers of this journal probably know how the peer review process works in the humanities disciplines and at various journals. Therefore the author explains how the law review process generally works and then what the humanities can learn and borrow from the law review process. He ends by advocating for a hybrid law review/peer review approach to…

Mobile human-computer interaction perspective on mobile learning

CSIR Research Space (South Africa)

Botha, Adèle

2010-10-01

Full Text Available Applying a Mobile Human Computer Interaction (MHCI) view to the domain of education using Mobile Learning (Mlearning), the research outlines its understanding of the influences and effects of different interactions on the use of mobile technology...

Nature Contact and Human Health: A Research Agenda.

Science.gov (United States)

Frumkin, Howard; Bratman, Gregory N; Breslow, Sara Jo; Cochran, Bobby; Kahn, Peter H; Lawler, Joshua J; Levin, Phillip S; Tandon, Pooja S; Varanasi, Usha; Wolf, Kathleen L; Wood, Spencer A

2017-07-31

At a time of increasing disconnectedness from nature, scientific interest in the potential health benefits of nature contact has grown. Research in recent decades has yielded substantial evidence, but large gaps remain in our understanding. We propose a research agenda on nature contact and health, identifying principal domains of research and key questions that, if answered, would provide the basis for evidence-based public health interventions. We identify research questions in seven domains: a ) mechanistic biomedical studies; b ) exposure science; c ) epidemiology of health benefits; d ) diversity and equity considerations; e ) technological nature; f ) economic and policy studies; and g ) implementation science. Nature contact may offer a range of human health benefits. Although much evidence is already available, much remains unknown. A robust research effort, guided by a focus on key unanswered questions, has the potential to yield high-impact, consequential public health insights. https://doi.org/10.1289/EHP1663.

Precursors to natural grammar learning: preliminary evidence from 4-month-old infants.

Science.gov (United States)

Friederici, Angela D; Mueller, Jutta L; Oberecker, Regine

2011-03-22

When learning a new language, grammar--although difficult--is very important, as grammatical rules determine the relations between the words in a sentence. There is evidence that very young infants can detect rules determining the relation between neighbouring syllables in short syllable sequences. A critical feature of all natural languages, however, is that many grammatical rules concern the dependency relation between non-neighbouring words or elements in a sentence i.e. between an auxiliary and verb inflection as in is singing. Thus, the issue of when and how children begin to recognize such non-adjacent dependencies is fundamental to our understanding of language acquisition. Here, we use brain potential measures to demonstrate that the ability to recognize dependencies between non-adjacent elements in a novel natural language is observable by the age of 4 months. Brain responses indicate that 4-month-old German infants discriminate between grammatical and ungrammatical dependencies in auditorily presented Italian sentences after only brief exposure to correct sentences of the same type. As the grammatical dependencies are realized by phonologically distinct syllables the present data most likely reflect phonologically based implicit learning mechanisms which can serve as a precursor to later grammar learning.

Consequences of the Chernobyl accident for the natural and human environments

Energy Technology Data Exchange (ETDEWEB)

Dreicer, M. [Lawrence Livermore National Lab., CA (United States); Aarkog, A. [Risoe National Lab., Roskilde (Denmark); Alexakhin, R. [Russian Inst. of Agricultural Radiology and Agroecology (Russian Federation); Anspaugh, L. [Lawrence Livermore National Lab., CA (United States); Arkhipov, N.P. [Scientific and Technical Centre of the RIA `Pripyat` (Ukraine); Johansson, K.-J. [Swedish Univ. of Agricultural Sciences, Uppsala (Sweden)

1996-07-01

In the ten years since the Chernobyl accident, an enormous amount of work has been done to assess the consequences to the natural and human environment. Although it is difficult to summarize such a large and varied field, some general conclusions can be drawn. This background paper includes the main findings concerning the direct impacts of radiation on the flora and fauna; the general advances of knowledge in the cycling of radionuclides in natural, seminatural and agricultural environments; some evaluation of countermeasures that were used; and a summary of the human radiation doses resulting from the environmental contamination. although open questions still remain, it can be concluded that: (1) at high radiation levels, the natural environment has shown short term impacts but any significant long term impacts remain to be seen; (2) effective countermeasures can be taken to reduce the transfer of contamination from the environment to humans but these are highly site specific and must be evaluated in terms of practicality as well as population does reduction; (3) the majority of the doses have already been received by the human population. If agricultural countermeasures are appropriately taken, the main source of future doses will be the gathering of food and recreational activities in natural and seminatural ecosystems.

Consequences of the Chernobyl accident for the natural and human environments

International Nuclear Information System (INIS)

Dreicer, M.; Aarkog, A.; Alexakhin, R.; Anspaugh, L.; Arkhipov, N.P.; Johansson, K.-J.

1996-07-01

In the ten years since the Chernobyl accident, an enormous amount of work has been done to assess the consequences to the natural and human environment. Although it is difficult to summarize such a large and varied field, some general conclusions can be drawn. This background paper includes the main findings concerning the direct impacts of radiation on the flora and fauna; the general advances of knowledge in the cycling of radionuclides in natural, seminatural and agricultural environments; some evaluation of countermeasures that were used; and a summary of the human radiation doses resulting from the environmental contamination. although open questions still remain, it can be concluded that: (1) at high radiation levels, the natural environment has shown short term impacts but any significant long term impacts remain to be seen; (2) effective countermeasures can be taken to reduce the transfer of contamination from the environment to humans but these are highly site specific and must be evaluated in terms of practicality as well as population does reduction; (3) the majority of the doses have already been received by the human population. If agricultural countermeasures are appropriately taken, the main source of future doses will be the gathering of food and recreational activities in natural and seminatural ecosystems

The Correlation between Teacher Professional Competence and Natural Science Learning Achievement in Elementary School

Directory of Open Access Journals (Sweden)

I Ketut Ngurah Ardiawan

2017-12-01

Full Text Available This present study aims at investigating the correlation between teachers’ professional competence and natural science learning achievement in elementary schools in Buleleng regency. The population in this study are all sixth grade teachers, which it is further narrowed down to 30 teachers as the sample. In order to gather the data, the researcher employs questionnaire regarding teacher professional competence and document study toward students’ achievement on national examination in academic year 2016/2017. Further, ex post facto is chosen as the design of the study. Meanwhile, the data are analysed through correlation analysis with assistance of SPSS 16 software. Based on the analysis, it was obtained that the correlation between teacher professional competence and the learning achievement on natural science subject is in the interval of 0.40-0.59 with correlation coefficient at rho=0.506. This means there is a significant correlation between teacher professional competence and students’ learning achievement on natural science in national examination in academic year 2016/2017 (tcount = 3.103 > ttable =2.048 with significance level at α = 0,05 and coefficient of determination at 0.2560 (25.60%

Natural Tendency towards Beauty in Humans: Evidence from Binocular Rivalry.

Science.gov (United States)

Mo, Ce; Xia, Tiansheng; Qin, Kaixin; Mo, Lei

2016-01-01

Although human preference for beauty is common and compelling in daily life, it remains unknown whether such preference is essentially subserved by social cognitive demands or natural tendency towards beauty encoded in the human mind intrinsically. Here we demonstrate experimentally that humans automatically exhibit preference for visual and moral beauty without explicit cognitive efforts. Using a binocular rivalry paradigm, we identified enhanced gender-independent perceptual dominance for physically attractive persons, and the results suggested universal preference for visual beauty based on perceivable forms. Moreover, we also identified perceptual dominance enhancement for characters associated with virtuous descriptions after controlling for facial attractiveness and vigilance-related attention effects, which suggested a similar implicit preference for moral beauty conveyed in prosocial behaviours. Our findings show that behavioural preference for beauty is driven by an inherent natural tendency towards beauty in humans rather than explicit social cognitive processes.

Identification as Incentive to Care: Pre-Service Teachers' Orientation towards Inclusion in Nature

Science.gov (United States)

Gedžune, Inga

2015-01-01

This study proposes identification with nature as a pedagogical technique in teacher education for sustainability to facilitate commitment to care about nonhuman nature, such care being an important underpinning of an inclusive and hence sustainable human-nature relationship. 29 pre-service teachers participated in a series of learning activities…

Social learning as a way to overcome choice-induced preferences? Insights from humans and rhesus macaques.

Directory of Open Access Journals (Sweden)

ELISABETTA eMONFARDINI

2012-09-01

Full Text Available Much theoretical attention is currently devoted to social learning. Yet, empirical studies formally comparing its effectiveness relative to individual learning are rare. Here, we focus on free choice, which is at the heart of individual reward-based learning, but absent in social learning. Choosing among two equally valued options is known to create a preference for the selected option in both humans and monkeys. We thus surmised that social learning should be more helpful when choice-induced preferences retard individual learning than when they optimize it. To test this prediction, the same task requiring to find which among two items concealed a reward was applied to rhesus macaques and humans. The initial trial was individual or social, rewarded or unrewarded. Learning was assessed on the second trial. Choice-induced preference strongly affected individual learning. Monkeys and humans performed much more poorly after an initial negative choice than after an initial positive choice. Comparison with social learning verified our prediction. For negative outcome, social learning surpassed or at least equaled individual learning in all subjects. For positive outcome, the predicted superiority of individual learning did occur in a majority of subjects (5/6 monkeys and 6/12 humans. A minority kept learning better socially though, perhaps due to a more dominant/aggressive attitude toward peers. Poor learning from errors due to over-valuation of personal choices is among the decision-making biases shared by humans and animals. The present study suggests that choice-immune social learning may help curbing this potentially harmful tendency. Learning from successes is an easier path. The present data suggest that whether one tends to walk it alone or with a peer's help might depend on the social dynamics within the actor/observer dyad.

Born Pupils? Natural Pedagogy and Cultural Pedagogy.

Science.gov (United States)

Heyes, Cecilia

2016-03-01

The theory of natural pedagogy is an important focus of research on the evolution and development of cultural learning. It proposes that we are born pupils; that human children genetically inherit a package of psychological adaptations that make them receptive to teaching. In this article, I first examine the components of the package-eye contact, contingencies, infant-directed speech, gaze cuing, and rational imitation-asking in each case whether current evidence indicates that the component is a reliable feature of infant behavior and a genetic adaptation for teaching. I then discuss three fundamental insights embodied in the theory: Imitation is not enough for cumulative cultural inheritance, the extra comes from blind trust, and tweaking is a powerful source of cognitive change. Combining the results of the empirical review with these insights, I argue that human receptivity to teaching is founded on nonspecific genetic adaptations for social bonding and social learning and acquires its species- and functionally specific features through the operation of domain-general processes of learning in sociocultural contexts. We engage, not in natural pedagogy, but in cultural pedagogy. © The Author(s) 2016.

An empirically informed critique of Habermas' argument from human nature.

Science.gov (United States)

Morar, Nicolae

2015-02-01

In a near-future world of bionics and biotechnology, the main ethical and political issue will be the definition of who we are. Could biomedical enhancements transform us to such an extent that we would be other than human? Habermas argues that any genetic enhancement intervention that could potentially alter 'human nature' should be morally prohibited since it alters the child's nature or the very essence that makes the child who he is. This practice also commits the child to a specific life project or, in any case, it puts specific restrictions on his freedom to choose a life of his own. Ultimately, genetic enhancement jeopardizes the very foundations of moral equality. I contend that Habermas' argument is based either on a series of presuppositions that imply a gross misunderstanding of evolution or the relevant factual information concerning the action we are about to morally assess is not empirically supported. Hence, the argument from human nature is based on a series of false or problematic assumptions, and, as such, it fails to play the normative role intended by Habermas.

A Benefit/Cost/Deficit (BCD) model for learning from human errors

International Nuclear Information System (INIS)

Vanderhaegen, Frederic; Zieba, Stephane; Enjalbert, Simon; Polet, Philippe

2011-01-01

This paper proposes an original model for interpreting human errors, mainly violations, in terms of benefits, costs and potential deficits. This BCD model is then used as an input framework to learn from human errors, and two systems based on this model are developed: a case-based reasoning system and an artificial neural network system. These systems are used to predict a specific human car driving violation: not respecting the priority-to-the-right rule, which is a decision to remove a barrier. Both prediction systems learn from previous violation occurrences, using the BCD model and four criteria: safety, for identifying the deficit or the danger; and opportunity for action, driver comfort, and time spent; for identifying the benefits or the costs. The application of learning systems to predict car driving violations gives a rate over 80% of correct prediction after 10 iterations. These results are validated for the non-respect of priority-to-the-right rule.

Effective post-literacy learning: A question of a national human resource strategy

Science.gov (United States)

Ahmed, Manzoor

1989-12-01

Initial literacy courses must be followed by opportunities for consolidating the mechanics of literacy skills and practical application of three skills in life. Experience has shown that these `post-literacy' objectives can be achieved, not by a second stage of the literacy course, but by a range of opportunities for learning and application of learning through a network of continuing education opportunities geared to the diverse needs and circumstances of different categories of neo-literates. A taxonomy of learner categories and learning needs is seen as a basis for planning and supporting the network of post-literacy learning. Examples from China, India and Thailand demonstrate the importance of recognizing the continuity of literacy and post-literacy efforts, the need for commitment of resources for this continuum of learning, the role of an organizational structure to deal with this continuum in a coordinated way, and the value of a comprehensive range of learning opportunities for neo-literates. A necessary condition for success in building a network of continuing learning opportunities and contributing to the creation of a `learning society' is to make human resource development the core of national development. It is argued that the scope and dimensions of post-literacy continuing education are integrally linked with the goal of mass basic education and ultimately with the vision of a `learning society'. Such a vision can be a reality only with a serious human resource development focus in national development that will permit the necessary mobilization of resources, the coordination of sectors of government and society and the generation of popular enthusiasm. A radical or an incremental approach can be taken to move towards the primacy of a human resource strategy in national development. In either case, a functioning coordination and support mechanism has to be developed for the key elements of mass basic education including post-literacy learning.

Essentialism Regarding Human Nature in the Defence of Gender Equality in Education

Science.gov (United States)

Holma, Katariina

2007-01-01

In this article I consider contemporary philosophical conceptions of human nature from the point of view of the ideal of gender equality. My main argument is that an essentialist account of human nature, unlike what I take to be its two main alternatives (the subjectivist account and the cultural account), is able coherently to justify the…

Human factors in training

International Nuclear Information System (INIS)

Dutton, J.W.; Brown, W.R.

1981-01-01

The Human Factors concept is a focused effort directed at those activities which require human involvement. Training is, by its nature, an activity totally dependent on the Human Factor. This paper identifies several concerns significant to training situations and discusses how Human Factor awareness can increase the quality of learning. Psychology in the training arena is applied Human Factors. Training is a method of communication represented by sender, medium, and receiver. Two-thirds of this communications model involves the human element directly

Evolution and natural selection: learning by playing and reflecting

Directory of Open Access Journals (Sweden)

David Herrero

2014-01-01

Full Text Available Scientific literacy is more than the simple reproduction of traditional school science knowledge and requires a set of skills, among them identifying scientific issues, explaining phenomena scientifically and using scientific evidence. Several studies have indicated that playing computer games in the classroom can support the development of students’ conceptual understanding about scientific phenomena and theories. Our paper presents a research study where the role of the video game Spore as a learning tool was analysed in a Biology class. An ethnographical perspective served as the framework for the organization and development of a workshop comprised of five sessions with 22 4th grade students, and their Biology teacher. The results show that this video game could become an interesting learning tool to improve students’ understanding of evolution and natural selection. The students could combine their previous knowledge with the academic knowledge obtained though the simulation presented by the video game. To sum up, an attempt has been made to give some empirical guidance about effective approaches to the utilisation of games in classrooms, additionally paying attention to a number of concerns related to the effectiveness of video games as learning tools.

Personality psychology : Domains of knowledge about human nature

NARCIS (Netherlands)

Larsen, Randy J.; Buss, David M.; Wismeijer, Andreas; Song, John; van den Berg, Stéphanie Martine

Using a unique organizational framework that emphasizes six domains of knowledge about human nature, Personality Psychology presents an accessible, contemporary look at personality as a collection of interrelated topics and themes. The book focuses on the scientific basis of our knowledge about

Leadership Learning Opportunities in Agriculture, Food, and Natural Resources Education: The Role of The Teacher

Science.gov (United States)

McKim, Aaron J.; Pauley, C. M.; Velez, Jonathan J.; Sorensen, Tyson J.

2017-01-01

Learning environments combining agriculture, food, natural resources, and leadership knowledge and skills are increasingly essential in preparing students for future success. School-based agricultural education offers a premier context in which to teach leadership within agriculture, food, and natural resources curriculum. However, providing…

Plato, Freud and Marx on Human Nature: A Comparative Analysis ...

African Journals Online (AJOL)

This paper examines the conceptions of human nature by Plato, Sigmund Freud and Karl Marx, with a view to revealing and explaining the convergence and divergence between these conceptions. It shows that agreement or disagreement on the distinguishing characteristics of human individuals can be situated on ...

Extending human potential in a technical learning environment

Science.gov (United States)

Fielden, Kay A.

This thesis is a report of a participatory inquiry process looking at enhancing the learning process in a technical academic field in high education by utilising tools and techniques which go beyond the rational/logical, intellectual domain in a functional, objective world. By empathising with, nurturing and sustaining the whole person, and taking account of past patterning as well as future visions including technological advances to augment human awareness, the scene is set for depth learning. Depth learning in a tertiary environment can only happen as a result of the dynamic that exists between the dominant, logical/rational, intellectual paradigm and the experiential extension of the boundaries surrounding this domain. Any experiences which suppress the full, holistic expression of our being alienate us from the fullness of the expression and hence from depth learning. Depth learning is indicated by intrinsic motivation, which is more likely to occur in a trusting and supporting environment. The research took place within a systemic intellectual framework, where emergence is the prime characteristic used to evaluate results.

Interactive machine learning for health informatics: when do we need the human-in-the-loop?

Science.gov (United States)

Holzinger, Andreas

2016-06-01

Machine learning (ML) is the fastest growing field in computer science, and health informatics is among the greatest challenges. The goal of ML is to develop algorithms which can learn and improve over time and can be used for predictions. Most ML researchers concentrate on automatic machine learning (aML), where great advances have been made, for example, in speech recognition, recommender systems, or autonomous vehicles. Automatic approaches greatly benefit from big data with many training sets. However, in the health domain, sometimes we are confronted with a small number of data sets or rare events, where aML-approaches suffer of insufficient training samples. Here interactive machine learning (iML) may be of help, having its roots in reinforcement learning, preference learning, and active learning. The term iML is not yet well used, so we define it as "algorithms that can interact with agents and can optimize their learning behavior through these interactions, where the agents can also be human." This "human-in-the-loop" can be beneficial in solving computationally hard problems, e.g., subspace clustering, protein folding, or k-anonymization of health data, where human expertise can help to reduce an exponential search space through heuristic selection of samples. Therefore, what would otherwise be an NP-hard problem, reduces greatly in complexity through the input and the assistance of a human agent involved in the learning phase.

Proactive Interference in Human Predictive Learning

OpenAIRE

Castro, Leyre; Ortega, Nuria; Matute, Helena

2002-01-01

The impairment in responding to a secondly trained association because of the prior training of another (i.e., proactive interference) is a well-established effect in human and animal research, and it has been demonstrated in many paradigms. However, learning theories have been concerned with proactive interference only when the competing stimuli have been presented in compound at some moment of the training phase. In this experiment we investigated the possibility of proactive interference b...

Malaysian Mathematics Teachers' Beliefs about the Nature of Teaching and Learning

Science.gov (United States)

Zikre, Nuraini Mohd; Eu, Leong Kwan

2016-01-01

Teachers play a vital role in nurturing and shaping learners in school. Extensive researches have been conducted showing that beliefs in the nature of teaching and learning held by the teachers will affect their actual classroom practices. In Malaysia, not many studies have been done on mathematics teacher's beliefs at the national level. The…

Improving students' meaningful learning on the predictive nature of quantum mechanics

Directory of Open Access Journals (Sweden)

Rodolfo Alves de Carvalho Neto

2009-03-01

Full Text Available This paper deals with research about teaching quantum mechanics to 3rd year high school students and their meaningful learning of its predictive aspect; it is based on the Master’s dissertation of one of the authors (CARVALHO NETO, 2006. While teaching quantum mechanics, we emphasized its predictive and essentially probabilistic nature, based on Niels Bohr’s complementarity interpretation (BOHR, 1958. In this context, we have discussed the possibility of predicting measurement results in well-defined experimental contexts, even for individual events. Interviews with students reveal that they have used quantum mechanical ideas, suggesting their meaningful learning of the essentially probabilistic predictions of quantum mechanics.

Mindsets and Human Nature: Promoting Change in the Middle East, the Schoolyard, the Racial Divide, and Willpower

Science.gov (United States)

Dweck, Carol S.

2012-01-01

Debates about human nature often revolve around what is built in. However, the hallmark of human nature is how much of a person's identity is not built in; rather, it is humans' great capacity to adapt, change, and grow. This nature versus nurture debate matters--not only to students of human nature--but to everyone. It matters whether people…

Practice stories in natural resource management continuing professional education: springboards for learning

DEFF Research Database (Denmark)

Stummann, Cathy Brown

2014-01-01

in supporting professional learning of new concepts. These uses of practice stories are not evident in public natural resource management (NRM) continuing professional education. In light of greater public involvement in NRM practice over the last 20 years, however, the use of practice stories could now...... practice. Feedback from workshop participants suggests that practice stories may be able to support NRM professionals in reflecting on previous experiences, learning from colleague's practice experiences and serving as a springboard for learning by fostering linkages between social science knowledge......The use of stories from professional experience in continuing professional education has been on the rise in many fields, often aimed at bolstering capacity through sharing professional knowledge and/or supporting reflective practice. Practice stories are also suggested to be beneficial...

Developing Autonomous Vehicles That Learn to Navigate by Mimicking Human Behavior

Science.gov (United States)

2006-09-28

navigate in an unstructured environment to a specific target or location. 15. SUBJECT TERMS autonomous vehicles , fuzzy logic, learning behavior...ANSI-Std Z39-18 Developing Autonomous Vehicles That Learn to Navigate by Mimicking Human Behavior FINAL REPORT 9/28/2006 Dean B. Edwards Department...the future, as greater numbers of autonomous vehicles are employed, it is hoped that lower LONG-TERM GOALS Use LAGR (Learning Applied to Ground Robots

A Conceptual Framework over Contextual Analysis of Concept Learning within Human-Machine Interplays

DEFF Research Database (Denmark)

Badie, Farshad

2016-01-01

This research provides a contextual description concerning existential and structural analysis of ‘Relations’ between human beings and machines. Subsequently, it will focus on conceptual and epistemological analysis of (i) my own semantics-based framework [for human meaning construction] and of (ii......) a well-structured machine concept learning framework. Accordingly, I will, semantically and epistemologically, focus on linking those two frameworks for logical analysis of concept learning in the context of human-machine interrelationships. It will be demonstrated that the proposed framework provides...

Inquiry-Based Learning in Teacher Education: A Primary Humanities Example

Science.gov (United States)

Preston, Lou; Harvie, Kate; Wallace, Heather

2015-01-01

Inquiry-based learning features strongly in the new Australian Humanities and Social Sciences curriculum and increasingly in primary school practice. Yet, there is little research into, and few exemplars of, inquiry approaches in the primary humanities context. In this article, we outline and explain the implementation of a place-based simulation…

Motivating Students through Awareness of the Natural Correlation between College Learning and Corporate Work Settings

Science.gov (United States)

D'Aloisio, Anna

2006-01-01

This article argues that college students can be motivated to be active participants in their own education if made aware of the direct correlation between college learning and corporate work settings. Students can be shown that through the natural course of college learning, they are acquiring valuable core skills or transferable competencies…

Art and human nature

Directory of Open Access Journals (Sweden)

Mirta Toledo

2008-06-01

Full Text Available This article presents a visual artist’s point of view about art. This view confronts the Eurocentric traditional cannon with some ignored, but valuable traditions, thus proposing a contra-canon. These ideas are examined on the light of a variety of sources, including prehistoric, pre-Columbian, and 20th century art expressions, in a variety of media, from sculpture to literature. Recent art expressions are characterized by their incorporation of minority values and perspectives that challenge “universal” views. Using samples of works from Latino and African American artists, the author shows that, even today, art is a means to know the world and its people, to exhibit personal life, to create personal symbolism, and to show one’s identity or the search for it. Like the human nature it represents, art has multiple faces.

Climate for Learning: A Symposium. Creating a Climate for Learning, and the Humanizing Process. The Principal and School Discipline. Curriculum Bulletin Vol. XXXII, No. 341.

Science.gov (United States)

Johnson, Simon O.; Chaky, June

This publication contains two articles focusing on creating a climate for learning. In "Creating a Climate for Learning, and the Humanizing Process," Simon O. Johnson offers practical suggestions for creating a humanistic learning environment. The author begins by defining the basic concepts--humanism, affective education, affective situation,…

Theory-based Bayesian models of inductive learning and reasoning.

Science.gov (United States)

Tenenbaum, Joshua B; Griffiths, Thomas L; Kemp, Charles

2006-07-01

Inductive inference allows humans to make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the world. Traditional accounts of induction emphasize either the power of statistical learning, or the importance of strong constraints from structured domain knowledge, intuitive theories or schemas. We argue that both components are necessary to explain the nature, use and acquisition of human knowledge, and we introduce a theory-based Bayesian framework for modeling inductive learning and reasoning as statistical inferences over structured knowledge representations.

Pattern-Induced Covert Category Learning in Songbirds.

Science.gov (United States)

Comins, Jordan A; Gentner, Timothy Q

2015-07-20

Language is uniquely human, but its acquisition may involve cognitive capacities shared with other species. During development, language experience alters speech sound (phoneme) categorization. Newborn infants distinguish the phonemes in all languages but by 10 months show adult-like greater sensitivity to native language phonemic contrasts than non-native contrasts. Distributional theories account for phonetic learning by positing that infants infer category boundaries from modal distributions of speech sounds along acoustic continua. For example, tokens of the sounds /b/ and /p/ cluster around different mean voice onset times. To disambiguate overlapping distributions, contextual theories propose that phonetic category learning is informed by higher-level patterns (e.g., words) in which phonemes normally occur. For example, the vowel sounds /Ι/ and /e/ can occupy similar perceptual spaces but can be distinguished in the context of "with" and "well." Both distributional and contextual cues appear to function in speech acquisition. Non-human species also benefit from distributional cues for category learning, but whether category learning benefits from contextual information in non-human animals is unknown. The use of higher-level patterns to guide lower-level category learning may reflect uniquely human capacities tied to language acquisition or more general learning abilities reflecting shared neurobiological mechanisms. Using songbirds, European starlings, we show that higher-level pattern learning covertly enhances categorization of the natural communication sounds. This observation mirrors the support for contextual theories of phonemic category learning in humans and demonstrates a general form of learning not unique to humans or language. Copyright © 2015 Elsevier Ltd. All rights reserved.

Can Nature Protection be Unsustainable? Models Behind Nature Protection in New Zealands National Parks

Science.gov (United States)

Hauhs, Michael; Bogner, Christina

2013-04-01

Nature protection can be justified by intrinsic values of life. Western culture sees nature as an autonomous system. Thus, nature protection is often synonymous with refraining from human interference as much as possible. This, however, can pose at least technical problems. Indeed, historical human impacts such as introduced species are often irreversible. In such cases refraining from human interference to protect threatened species is not an adequate management response. Nature protection in New Zealand is a prominent example. Many introduced species make a non-interventionist attitude infeasible to protect endemic species such as kiwis. Actually, active human interference is necessary to attain this goal. Therefore, one may consider nature protection as another form of land use. As any other form of land use, it needs standards of proper management (i.e. explicit goals, assessment, intervention etc.). In other words, it has to be shown to be sustainable. However, sustainability may rigorously be defined as an attribute of past land use only. Instantaneous positive indicators of sustainability may be elusive. At best it can be decided by observation whether or not a land use has been (not) sustainable until now. Stakeholders of nature protection have often different (implicit) concepts or models of nature in mind. This can lead to conflicts when it comes to management decisions. For example, the methods by which conservationists in New Zealand seek to re-establish historical species assemblages (e.g. aerial drop of poison into national parks) have come under criticism of animal rights groups as non-humane. We propose to use abstract modelling language to classify these concepts of nature protection and related issues. We show that from modelling perspective these conflicts pose a basic science problem rather than an applied science problem. This makes the delegation into existing disciplines so hard. We discuss possible implications for nature protection

Catalog Learning: Carabid Beetles Learn to Manipulate with Innate Coherent Behavioral Patterns

Directory of Open Access Journals (Sweden)

Zhanna Reznikova

2013-07-01

Full Text Available One of the most fascinating problems in comparative psychology is how learning contributes to solving specific functional problems in animal life, and which forms of learning our species shares with non-human animals. Simulating a natural situation of territorial conflicts between predatory carabids and red wood ants in field and laboratory experiments, we have revealed a relatively simple and quite natural form of learning that has been overlooked. We call it catalog learning, the name we give to the ability of animals to establish associations between stimuli and coherent behavioral patterns (patterns consist of elementary motor acts that have a fixed order. Instead of budgeting their motor acts gradually, from chaotic to rational sequences in order to learn something new, which is characteristic for a conditioning response, animals seem to be “cataloguing” their repertoire of innate coherent behavioral patterns in order to optimize their response to a certain repetitive event. This form of learning can be described as “stimulus-pattern” learning. In our experiments four “wild” carabid species, whose cognitive abilities have never been studied before, modified their behavior in a rather natural manner in order to avoid damage from aggressive ants. Beetles learned to select the relevant coherent behavioral patterns from the set of seven patterns, which are common to all four species and apparently innate. We suggest that this form of learning differs from the known forms of associative learning, and speculate that it is quite universal and can be present in a wide variety of species, both invertebrate and vertebrate. This study suggests a new link between the concepts of cognition and innateness.

Neural computations mediating one-shot learning in the human brain.

Directory of Open Access Journals (Sweden)

Sang Wan Lee

2015-04-01

Full Text Available Incremental learning, in which new knowledge is acquired gradually through trial and error, can be distinguished from one-shot learning, in which the brain learns rapidly from only a single pairing of a stimulus and a consequence. Very little is known about how the brain transitions between these two fundamentally different forms of learning. Here we test a computational hypothesis that uncertainty about the causal relationship between a stimulus and an outcome induces rapid changes in the rate of learning, which in turn mediates the transition between incremental and one-shot learning. By using a novel behavioral task in combination with functional magnetic resonance imaging (fMRI data from human volunteers, we found evidence implicating the ventrolateral prefrontal cortex and hippocampus in this process. The hippocampus was selectively "switched" on when one-shot learning was predicted to occur, while the ventrolateral prefrontal cortex was found to encode uncertainty about the causal association, exhibiting increased coupling with the hippocampus for high-learning rates, suggesting this region may act as a "switch," turning on and off one-shot learning as required.

Introduction to section 1 - Learning as a process

DEFF Research Database (Denmark)

Sriskandarajah, Nadarajah; Cerf, Marianne; Noe, Egon

2006-01-01

As an introduction to the workshop where 18 papers and posters were presented on the theme of ‘Learning as a Process’, the linked nature of the learning – knowing – acting field in rural development in Europe is emphasised. The workshop took up the issues of human interactions in foster learning...... processes, capacity building and development of collective action as a bottom-up process....

Dynamics of Information as Natural Computation

Directory of Open Access Journals (Sweden)

Gordana Dodig Crnkovic

2011-08-01

Full Text Available Processes considered rendering information dynamics have been studied, among others in: questions and answers, observations, communication, learning, belief revision, logical inference, game-theoretic interactions and computation. This article will put the computational approaches into a broader context of natural computation, where information dynamics is not only found in human communication and computational machinery but also in the entire nature. Information is understood as representing the world (reality as an informational web for a cognizing agent, while information dynamics (information processing, computation realizes physical laws through which all the changes of informational structures unfold. Computation as it appears in the natural world is more general than the human process of calculation modeled by the Turing machine. Natural computing is epitomized through the interactions of concurrent, in general asynchronous computational processes which are adequately represented by what Abramsky names “the second generation models of computation” [1] which we argue to be the most general representation of information dynamics.

Natural hazards, disasters and human kind: Whither ecosystem management?

Digital Repository Service at National Institute of Oceanography (India)

Mascarenhas, A.; Mudholkar, A.V.

in the way of powerful natural forces. Abandoning vulnerable geomorphic features, managed retreat, or safer setback with intervening forested landforms are feasible long-term options. The incalculable human misery that ultimately follows ia an ideal...

A learning-based autonomous driver: emulate human driver's intelligence in low-speed car following

Science.gov (United States)

Wei, Junqing; Dolan, John M.; Litkouhi, Bakhtiar

2010-04-01

In this paper, an offline learning mechanism based on the genetic algorithm is proposed for autonomous vehicles to emulate human driver behaviors. The autonomous driving ability is implemented based on a Prediction- and Cost function-Based algorithm (PCB). PCB is designed to emulate a human driver's decision process, which is modeled as traffic scenario prediction and evaluation. This paper focuses on using a learning algorithm to optimize PCB with very limited training data, so that PCB can have the ability to predict and evaluate traffic scenarios similarly to human drivers. 80 seconds of human driving data was collected in low-speed (car-following scenarios. In the low-speed car-following tests, PCB was able to perform more human-like carfollowing after learning. A more general 120 kilometer-long simulation showed that PCB performs robustly even in scenarios that are not part of the training set.

Improvement of Student Critical Thinking Skills with the Natural Product Mini Project Laboratory Learning

Directory of Open Access Journals (Sweden)

Aliefman Hakim

2016-12-01

Full Text Available This research aims to investigate effect of learning using natural product mini project laboratory on students’ critical thinking skills. The research was conducted on sixth semester of 59 students of chemistry and chemistry education program from one of the state universities in West Nusa Tenggara, Indonesia in 2012/2013. This research revealed class where the student learn using natural product mini project laboratory had more critical thinking skills than those using verification laboratory. The average n-gain of critical thinking skills for experiment class was 0.58 while for the control class was 0.37. The highest n-gain in the experiment class was 0.70 for “deciding on an action (selecting criteria to judge possible solutions indicators”, while the smallest n-gain was 0.47 for “the making and judging value of judgments (balancing, weighing, and deciding indicators. We concluded that the natural product mini project laboratory was better than verification laboratory in improving the students’ critical thinking skills.

Human natural killer cell development in secondary lymphoid tissues

Science.gov (United States)

Freud, Aharon G.; Yu, Jianhua; Caligiuri, Michael A.

2014-01-01

For nearly a decade it has been appreciated that critical steps in human natural killer (NK) cell development likely occur outside of the bone marrow and potentially necessitate distinct microenvironments within extramedullary tissues. The latter include the liver and gravid uterus as well as secondary lymphoid tissues such as tonsils and lymph nodes. For as yet unknown reasons these tissues are naturally enriched with NK cell developmental intermediates (NKDI) that span a maturation continuum starting from an oligopotent CD34+CD45RA+ hematopoietic precursor cell to a cytolytic mature NK cell. Indeed despite the detection of NKDI within the aforementioned tissues, relatively little is known about how, why, and when these tissues may be most suited to support NK cell maturation and how this process fits in with other components of the human immune system. With the discovery of other innate lymphoid subsets whose immunophenotypes overlap with those of NKDI, there is also need to revisit and potentially re-characterize the basic immunophenotypes of the stages of the human NK cell developmental pathway in vivo. In this review, we provide an overview of human NK cell development in secondary lymphoid tissues and discuss the many questions that remain to be answered in this exciting field. PMID:24661538

Towards Semantic Analysis of Training-Learning Relationships within Human-Machine Interactions

DEFF Research Database (Denmark)

Badie, Farshad

2016-01-01

In this article First-Order Predicate Logic (FOL) is employed for analysing some relationships between human beings and machines. Based on FOL, I will be conceptually and logically concerned with semantic analysis of training-learning relationships in human-machine interaction. The central focus...

Where humans meet machines innovative solutions for knotty natural-language problems

CERN Document Server

Markowitz, Judith

2013-01-01

Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems brings humans and machines closer together by showing how linguistic complexities that confound the speech systems of today can be handled effectively by sophisticated natural-language technology. Some of the most vexing natural-language problems that are addressed in this book entail   recognizing and processing idiomatic expressions, understanding metaphors, matching an anaphor correctly with its antecedent, performing word-sense disambiguation, and handling out-of-vocabulary words and phrases. This fourteen-chapter anthology consists of contributions from industry scientists and from academicians working at major universities in North America and Europe. They include researchers who have played a central role in DARPA-funded programs and developers who craft real-world solutions for corporations. These contributing authors analyze the role of natural language technology in the global marketplace; they explore the need f...

A Learning Perspective On The Role Of Natural Resources In Economic Development

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Andersen, Allan Dahl

2011-01-01

Natural resource-based industries are in economics often is understood as being unable to stimulate growth and development. The latter point has been put forward in the form of the ‘resource curse’ and is epitomised by inter alia Reinert (2007) who sees natural resource-based industries...... as detrimental to growth and development. Still, it will be argued here that Reinert’s approach is unsuitable for grasping the full role of natural resources in economic development because important aspects of industrial dynamics are ignored. In pursuit of the latter research aim two topics in economic research...... will be integrated: (i) the area of learning, innovation, capability building and economic development; (ii) with the area of natural resources and economic development. Such integration will be a contribution to both topics. Hence, this paper seeks to address the question: how can we understand the role of natural...

Integrating social science into empirical models of coupled human and natural systems

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Jeffrey D. Kline

2017-09-01

Full Text Available Coupled human and natural systems (CHANS research highlights reciprocal interactions (or feedbacks between biophysical and socioeconomic variables to explain system dynamics and resilience. Empirical models often are used to test hypotheses and apply theory that represent human behavior. Parameterizing reciprocal interactions presents two challenges for social scientists: (1 how to represent human behavior as influenced by biophysical factors and integrate this into CHANS empirical models; (2 how to organize and function as a multidisciplinary social science team to accomplish that task. We reflect on these challenges regarding our CHANS research that investigated human adaptation to fire-prone landscapes. Our project sought to characterize the forest management activities of land managers and landowners (or "actors" and their influence on wildfire behavior and landscape outcomes by focusing on biophysical and socioeconomic feedbacks in central Oregon (USA. We used an agent-based model (ABM to compile biophysical and social information pertaining to actor behavior, and to project future landscape conditions under alternative management scenarios. Project social scientists were tasked with identifying actors' forest management activities and biophysical and socioeconomic factors that influence them, and with developing decision rules for incorporation into the ABM to represent actor behavior. We (1 briefly summarize what we learned about actor behavior on this fire-prone landscape and how we represented it in an ABM, and (2 more significantly, report our observations about how we organized and functioned as a diverse team of social scientists to fulfill these CHANS research tasks. We highlight several challenges we experienced, involving quantitative versus qualitative data and methods, distilling complex behavior into empirical models, varying sensitivity of biophysical models to social factors, synchronization of research tasks, and the need to

SnapAnatomy, a computer-based interactive tool for independent learning of human anatomy.

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Yip, George W; Rajendran, Kanagasuntheram

2008-06-01

Computer-aided instruction materials are becoming increasing popular in medical education and particularly in the teaching of human anatomy. This paper describes SnapAnatomy, a new interactive program that the authors designed for independent learning of anatomy. SnapAnatomy is primarily tailored for the beginner student to encourage the learning of anatomy by developing a three-dimensional visualization of human structure that is essential to applications in clinical practice and the understanding of function. The program allows the student to take apart and to accurately put together body components in an interactive, self-paced and variable manner to achieve the learning outcome.

Learning invariance from natural images inspired by observations in the primary visual cortex.

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Teichmann, Michael; Wiltschut, Jan; Hamker, Fred

2012-05-01

The human visual system has the remarkable ability to largely recognize objects invariant of their position, rotation, and scale. A good interpretation of neurobiological findings involves a computational model that simulates signal processing of the visual cortex. In part, this is likely achieved step by step from early to late areas of visual perception. While several algorithms have been proposed for learning feature detectors, only few studies at hand cover the issue of biologically plausible learning of such invariance. In this study, a set of Hebbian learning rules based on calcium dynamics and homeostatic regulations of single neurons is proposed. Their performance is verified within a simple model of the primary visual cortex to learn so-called complex cells, based on a sequence of static images. As a result, the learned complex-cell responses are largely invariant to phase and position.

Telomeres and the natural lifespan limit in humans

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Steenstrup, Troels; Kark, Jeremy D; Verhulst, Simon

2017-01-01

An ongoing debate in demography has focused on whether the human lifespan has a maximal natural limit. Taking a mechanistic perspective, and knowing that short telomeres are associated with diminished longevity, we examined whether telomere length dynamics during adult life could set a maximal...... natural lifespan limit. We define leukocyte telomere length of 5 kb as the 'telomeric brink', which denotes a high risk of imminent death. We show that a subset of adults may reach the telomeric brink within the current life expectancy and more so for a 100-year life expectancy. Thus, secular trends...

Neural networks of human nature and nurture

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Daniel S. Levine

2009-11-01

Full Text Available Neural network methods have facilitated the unification of several unfortunate splits in psychology, including nature versus nurture. We review the contributions of this methodology and then discuss tentative network theories of caring behavior, of uncaring behavior, and of how the frontal lobes are involved in the choices between them. The implications of our theory are optimistic about the prospects of society to encourage the human potential for caring.

Can we adequately represent the spatial interplay between humans and nature?

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One of the challenges remaining before ecosystem services assessments can become part of mainstream decision making is how to spatially represent the interplay of nature as a whole and humans. Nature’s ecosystems act as natural capital by producing things (i.e. stocks and ...

Limits to human enhancement: nature, disease, therapy or betterment?

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Hofmann, Bjørn

2017-10-10

New technologies facilitate the enhancement of a wide range of human dispositions, capacities, or abilities. While it is argued that we need to set limits to human enhancement, it is unclear where we should find resources to set such limits. Traditional routes for setting limits, such as referring to nature, the therapy-enhancement distinction, and the health-disease distinction, turn out to have some shortcomings. However, upon closer scrutiny the concept of enhancement is based on vague conceptions of what is to be enhanced. Explaining why it is better to become older, stronger, and more intelligent presupposes a clear conception of goodness, which is seldom provided. In particular, the qualitative better is frequently confused with the quantitative more. We may therefore not need "external" measures for setting its limits - they are available in the concept of enhancement itself. While there may be shortcomings in traditional sources of limit setting to human enhancement, such as nature, therapy, and disease, such approaches may not be necessary. The specification-of-betterment problem inherent in the conception of human enhancement itself provides means to restrict its unwarranted proliferation. We only need to demand clear, sustainable, obtainable goals for enhancement that are based on evidence, and not on lofty speculations, hypes, analogies, or weak associations. Human enhancements that specify what will become better, and provide adequate evidence, are good and should be pursued. Others should not be accepted.

The Human - Nature Relationship i n t he Context o f Theo - Centric Environmental Ethics

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Gülşen YAYLI

2015-07-01

Full Text Available The environmental problems are one of the issues that intensively occupy the agenda of humankind. This fact mainly derives from the ambiguity of the s pan and the content of the issue. The concept of environmental problems can not be confined to th e soil, air and water pollution for the reason that it covers a scope wider than a classical pollution issues. Initially the form of the relations hip between h uman and nature has been relying on the “consumption at the level of content” which stands for a level that is enough to sustain the living. The perception of the nature used to be described with the metaphor of mother while natural environment was defined as the “mother earth”. However subsequent to natural environment definition of the Cartesian philosophy with its approach to the human nature relationship, the core metaphor to describe the natural environment has changed from the metaphor of “mother” to the “slave” which should serve by any means. The human - nature relationship within the context of ethics, both the parties an d their respective statues bear an importance. In terms of ethics of human - nature relationship, it is possible to mention three main approaches. First one is the anthropo - centric approach. Within the scope of historical process, human - nature relationship is addressed according to anthropo - centric ethics comprehension so human has remained at the center of discussion. Following the change of the perception regarding the issue of environment, new approaches have emerged that give emphasis not only on human beings but also others; on li ving and non - living beings with in the eco - system. In principle, this represents a departure from an anthropo - centric ethics to a new ethic approach which fall s into two categories, bio centric and eco - centric. The theo - centric ethics should also be included to these ethics approaches that are shaped within the sphere of positive sciences. The Abrahamic

Contingency learning in human fear conditioning involves the ventral striatum.

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Klucken, Tim; Tabbert, Katharina; Schweckendiek, Jan; Merz, Christian Josef; Kagerer, Sabine; Vaitl, Dieter; Stark, Rudolf

2009-11-01

The ability to detect and learn contingencies between fearful stimuli and their predictive cues is an important capacity to cope with the environment. Contingency awareness refers to the ability to verbalize the relationships between conditioned and unconditioned stimuli. Although there is a heated debate about the influence of contingency awareness on conditioned fear responses, neural correlates behind the formation process of contingency awareness have gained only little attention in human fear conditioning. Recent animal studies indicate that the ventral striatum (VS) could be involved in this process, but in human studies the VS is mostly associated with positive emotions. To examine this question, we reanalyzed four recently published classical fear conditioning studies (n = 117) with respect to the VS at three distinct levels of contingency awareness: subjects, who did not learn the contingencies (unaware), subjects, who learned the contingencies during the experiment (learned aware) and subjects, who were informed about the contingencies in advance (instructed aware). The results showed significantly increased activations in the left and right VS in learned aware compared to unaware subjects. Interestingly, this activation pattern was only found in learned but not in instructed aware subjects. We assume that the VS is not involved when contingency awareness does not develop during conditioning or when contingency awareness is unambiguously induced already prior to conditioning. VS involvement seems to be important for the transition from a contingency unaware to a contingency aware state. Implications for fear conditioning models as well as for the contingency awareness debate are discussed.

NATURAL USER INTERFACE SENSORS FOR HUMAN BODY MEASUREMENT

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J. Boehm

2012-08-01

Full Text Available The recent push for natural user interfaces (NUI in the entertainment and gaming industry has ushered in a new era of low cost three-dimensional sensors. While the basic idea of using a three-dimensional sensor for human gesture recognition dates some years back it is not until recently that such sensors became available on the mass market. The current market leader is PrimeSense who provide their technology for the Microsoft Xbox Kinect. Since these sensors are developed to detect and observe human users they should be ideally suited to measure the human body. We describe the technology of a line of NUI sensors and assess their performance in terms of repeatability and accuracy. We demonstrate the implementation of a prototype scanner integrating several NUI sensors to achieve full body coverage. We present the results of the obtained surface model of a human body.

Natural User Interface Sensors for Human Body Measurement

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Boehm, J.

2012-08-01

The recent push for natural user interfaces (NUI) in the entertainment and gaming industry has ushered in a new era of low cost three-dimensional sensors. While the basic idea of using a three-dimensional sensor for human gesture recognition dates some years back it is not until recently that such sensors became available on the mass market. The current market leader is PrimeSense who provide their technology for the Microsoft Xbox Kinect. Since these sensors are developed to detect and observe human users they should be ideally suited to measure the human body. We describe the technology of a line of NUI sensors and assess their performance in terms of repeatability and accuracy. We demonstrate the implementation of a prototype scanner integrating several NUI sensors to achieve full body coverage. We present the results of the obtained surface model of a human body.

Design Research on Mathematics Education: Investigating The Progress of Indonesian Fifth Grade Students’ Learning on Multiplication of Fractions With Natural Numbers

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Nenden Octavarulia Shanty

2011-07-01

Full Text Available This study aimed at investigating the progress of students’ learning onmultiplication fractions with natural numbers through the five activitylevels based on Realistic Mathematics Education (RME approachproposed by Streefland. Design research was chosen to achieve thisresearch goal. In design research, the Hypothetical Learning Trajectory(HLT plays important role as a design and research instrument. ThisHLT tested to thirty-seven students of grade five primary school (i.e.SDN 179 Palembang.The result of the classroom practices showed that measurement (lengthactivity could stimulate students’ to produce fractions as the first levelin learning multiplication of fractions with natural numbers.Furthermore, strategies and tools used by the students in partitioninggradually be developed into a more formal mathematics in whichnumber line be used as the model of measuring situation and the modelfor more formal reasoning. The number line then could bring thestudents to the last activity level, namely on the way to rules formultiplying fractions with natural numbers. Based on this findings, it is suggested that Streefland’s five activity levels can be used as aguideline in learning multiplication of fractions with natural numbers in which the learning process become a more progressive learning.

The Integration Hypothesis of Human Language Evolution and the Nature of Contemporary Languages

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Shigeru eMiyagawa

2014-06-01

Full Text Available How human language arose is a mystery in the evolution of Homo sapiens. Miyagawa, Berwick, & Okanoya (Frontiers 2013 put forward a proposal, which we will call the Integration Hypothesis of human language evolution, which holds that human language is composed of two components, E for expressive, and L for lexical. Each component has an antecedent in nature: E as found, for example, in birdsong, and L in, for example, the alarm calls of monkeys. E and L integrated uniquely in humans to give rise to language. A challenge to the Integration Hypothesis is that while these non-human systems are finite-state in nature, human language is known to require characterization by a non-finite state grammar. Our claim is that E and L, taken separately, are finite-state; when a grammatical process crosses the boundary between E and L, it gives rise to the non-finite state character of human language. We provide empirical evidence for the Integration Hypothesis by showing that certain processes found in contemporary languages that have been characterized as non-finite state in nature can in fact be shown to be finite-state. We also speculate on how human language actually arose in evolution through the lens of the Integration Hypothesis.

Natural and human impacts on ecosystem services in Guanzhong - Tianshui economic region of China.

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Li, Jing; Zhou, Z X

2016-04-01

Due to the accelerated growth of society, the gaps between the capacity of ecosystems to provide services and human needs are steadily widening. Natural, semi-natural, or managed ecosystems had been able to provide ecosystem services to meet the needs of social development. Four agricultural ecosystem services (net primary production (NPP), carbon sequestration and oxygen production (CSOP), water interception, soil conservation and agriculture production) were quantified in Guanzhong-Tianshui economic region. Estimates of ecosystem services were obtained from the analysis of satellite imagery and the use of well-known models. Based on the ecological services in Guanzhong-Tianshui economic region, this study mainly analysed the driving mechanism of the changes from the two aspects of natural drivers and human drivers. Natural drivers (climate, soil, elevation, land cover) had incentive to the ecological services. Human activity was quantified by an integrated human activity index (HAI) based on population density, farmland ratio, and the influence of road networks and residential areas. We found relationships between ecosystem services, human activities and many natural factors, however these varied according to the service studied. Human activities were mostly negatively related to each ecosystem services, while population and residential land ware positively related to agricultural production. Land use change had made a contribution to ecosystem services. Based on the selected ecosystem services and HAI, we provided sustainable ecosystem management suggestions.

Learning to walk before we run: what can medical education learn from the human body about integrated care?

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Eron G. Manusov

2013-05-01

Full Text Available True integration requires a shift in all levels of medical and allied health education; one that emphasizes team learning, practicing, and evaluating from the beginning of each students' educational experience whether that is as physician, nurse, psychologist, or any other health profession.  Integration of healthcare services will not occur until medical education focuses, like the human body, on each system working inter-dependently and cohesively to maintain balance through continual change and adaptation.  The human body develops and maintains homeostasis by a process of communication: true integrated care relies on learned interprofessionality and ensures shared responsibility and practice.

Learning to walk before we run: what can medical education learn from the human body about integrated care.

Science.gov (United States)

Manusov, Eron G; Marlowe, Daniel P; Teasley, Deborah J

2013-04-01

True integration requires a shift in all levels of medical and allied health education; one that emphasizes team learning, practicing, and evaluating from the beginning of each students' educational experience whether that is as physician, nurse, psychologist, or any other health profession. Integration of healthcare services will not occur until medical education focuses, like the human body, on each system working inter-dependently and cohesively to maintain balance through continual change and adaptation. The human body develops and maintains homeostasis by a process of communication: true integrated care relies on learned interprofessionality and ensures shared responsibility and practice.

Web-based e-learning and virtual lab of human-artificial immune system.

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Gong, Tao; Ding, Yongsheng; Xiong, Qin

2014-05-01

Human immune system is as important in keeping the body healthy as the brain in supporting the intelligence. However, the traditional models of the human immune system are built on the mathematics equations, which are not easy for students to understand. To help the students to understand the immune systems, a web-based e-learning approach with virtual lab is designed for the intelligent system control course by using new intelligent educational technology. Comparing the traditional graduate educational model within the classroom, the web-based e-learning with the virtual lab shows the higher inspiration in guiding the graduate students to think independently and innovatively, as the students said. It has been found that this web-based immune e-learning system with the online virtual lab is useful for teaching the graduate students to understand the immune systems in an easier way and design their simulations more creatively and cooperatively. The teaching practice shows that the optimum web-based e-learning system can be used to increase the learning effectiveness of the students.

Neural Computations Mediating One-Shot Learning in the Human Brain

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Lee, Sang Wan; O’Doherty, John P.; Shimojo, Shinsuke

2015-01-01

Incremental learning, in which new knowledge is acquired gradually through trial and error, can be distinguished from one-shot learning, in which the brain learns rapidly from only a single pairing of a stimulus and a consequence. Very little is known about how the brain transitions between these two fundamentally different forms of learning. Here we test a computational hypothesis that uncertainty about the causal relationship between a stimulus and an outcome induces rapid changes in the rate of learning, which in turn mediates the transition between incremental and one-shot learning. By using a novel behavioral task in combination with functional magnetic resonance imaging (fMRI) data from human volunteers, we found evidence implicating the ventrolateral prefrontal cortex and hippocampus in this process. The hippocampus was selectively “switched” on when one-shot learning was predicted to occur, while the ventrolateral prefrontal cortex was found to encode uncertainty about the causal association, exhibiting increased coupling with the hippocampus for high-learning rates, suggesting this region may act as a “switch,” turning on and off one-shot learning as required. PMID:25919291

A conceptual framework to evaluate human-wildlife interactions within coupled human and natural systems

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Anita T. Morzillo

2014-09-01

Full Text Available Landscape characteristics affect human-wildlife interactions. However, there is a need to better understand mechanisms that drive those interactions, particularly feedbacks that exist between wildlife-related impacts, human reaction to and behavior as a result of those impacts, and how land use and landscape characteristics may influence those components within coupled human and natural systems. Current conceptual models of human-wildlife interactions often focus on species population size as the independent variable driving those interactions. Such an approach potentially overlooks important feedbacks among and drivers of human-wildlife interactions that result from mere wildlife presence versus absence. We describe an emerging conceptual framework that focuses on wildlife as a driver of human behavior and allows us to better understand linkages between humans, wildlife, and the broader landscape. We also present results of a pilot analysis related to our own ongoing study of urban rodent control behavior to illustrate one application of this framework within a study of urban landscapes.

Validity of Learning Module Natural Sciences Oriented Constructivism with the Contain of Character Education for Students of Class VIII at Yunior Hight School

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Oktarina, K.; Lufri, L.; Chatri, M.

2018-04-01

Referring to primary data collected through observation and interview to natural science teachers and some students, it is found that there is no natural science teaching materials in the form of learning modules that can make learners learn independently, build their own knowledge, and construct good character in themselves. In order to address this problem, then it is developed natural science learning module oriented to constructivism with the contain of character education. The purpose of this study is to reconstruct valid module of natural science learning materials. This type of research is a development research using the Plomp model. The development phase of the Plomp model consists of 3 stages, namely 1) preliminary research phase, 2) development or prototyping phase, and 3) assessment phase. The result of the study shows that natural science learning module oriented to constructivism with the contain of character education for students class VIII of Yunior High School 11 Sungai Penuh is valid. In future work, practicality and effectiveness will be investigated.

Identification of learning mechanisms in a wild meerkat population.

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Will Hoppitt

Full Text Available Vigorous debates as to the evolutionary origins of culture remain unresolved due to an absence of methods for identifying learning mechanisms in natural populations. While laboratory experiments on captive animals have revealed evidence for a number of mechanisms, these may not necessarily reflect the processes typically operating in nature. We developed a novel method that allows social and asocial learning mechanisms to be determined in animal groups from the patterns of interaction with, and solving of, a task. We deployed it to analyse learning in groups of wild meerkats (Suricata suricatta presented with a novel foraging apparatus. We identify nine separate learning processes underlying the meerkats' foraging behaviour, in each case precisely quantifying their strength and duration, including local enhancement, emulation, and a hitherto unrecognized form of social learning, which we term 'observational perseverance'. Our analysis suggests a key factor underlying the stability of behavioural traditions is a high ratio of specific to generalized social learning effects. The approach has widespread potential as an ecologically valid tool to investigate learning mechanisms in natural groups of animals, including humans.

Intergenerational Learning at a Nature Center: Families Using Prior Experiences and Participation Frameworks to Understand Raptors

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Zimmerman, Heather Toomey; McClain, Lucy Richardson

2014-01-01

Using a sociocultural framework to approach intergenerational learning, this inquiry examines learning processes used by families during visits to one nature center. Data were collected from videotaped observations of families participating in an environmental education program and a follow-up task to draw the habitat of raptors. Based on a…

A Service-Learning Project in Chemistry: Environmental Monitoring of a Nature Preserve

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Kammler, David C.; Truong, Triet M.; VanNess, Garrett; McGowin, Audrey E.

2012-01-01

A collaborative environmental service-learning project was implemented between upper-level undergraduate science majors and graduate chemistry students at a large state school and first-year students at a small private liberal arts college. Students analyzed the water quality in a nature preserve by determining the quantities of 12 trace metals,…

An impoverished machine: challenges to human learning and instructional technology.

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Taraban, Roman

2008-08-01

Many of the limitations to human learning and processing identified by cognitive psychologists over the last 50 years still hold true, including computational constraints, low learning rates, and unreliable processing. Instructional technology can be used in classrooms and in other learning contexts to address these limitations to learning. However, creating technological innovations is not enough. As part of psychological science, the development and assessment of instructional systems should be guided by theories and practices within the discipline. The technology we develop should become an object of research like other phenomena that are studied. In the present article, I present an informal account of my own work in assessing instructional technology for engineering thermodynamics to show not only the benefits, but also the limitations, in studying the technology we create. I conclude by considering several ways of advancing the development of instructional technology within the SCiP community, including interdisciplinary research and envisioning learning contexts that differ radically from traditional learning focused on lectures and testing.

Gene therapy, human nature and the churches.

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Dunstan, G R

1991-12-01

Moral analysis must begin with respect for the empirical features, the "facts of the case". Major advances in genetic knowledge and technology -- as in other sciences -- inevitably change mental attitudes. But they could not change human nature, a product of the distinctively human cerebral cortex. Human capacities like compassion and justice are our own and for us to guard. To ask (as some do) about a "right" to inherit a non-manipulated genome is to ask an unanswerable question: the language of rights is inappropriate in this context. Parents have a duty to safeguard and to serve the interests of their potential child. The medical duty is to help in that task in ways which they have limited freedom to choose. The role of churches is to be faithful to their deposit of faith and their theological principles, including that of freedom of conscience. Churches are too easily led in practice to over-rule conscience on grounds of authority, ecclesiastical or biblical, not sustained by convincing reason. This is most evident in some declarations concerning human reproduction. Better were it for them to help their faithful in moral reasoning, the ethics of choice; to keep consciences tender.

The role of natural environments in the evolution of resistance traits in pathogenic bacteria

OpenAIRE

Martinez, Jose L.

2009-01-01

Antibiotics are among the most valuable compounds used for fighting human diseases. Unfortunately, pathogenic bacteria have evolved towards resistance. One important and frequently forgotten aspect of antibiotics and their resistance genes is that they evolved in non-clinical (natural) environments before the use of antibiotics by humans. Given that the biosphere is mainly formed by micro-organisms, learning the functional role of antibiotics and their resistance elements in nature has releva...

Evolution of social learning does not explain the origin of human cumulative culture.

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Enquist, Magnus; Ghirlanda, Stefano

2007-05-07

Because culture requires transmission of information between individuals, thinking about the origin of culture has mainly focused on the genetic evolution of abilities for social learning. Current theory considers how social learning affects the adaptiveness of a single cultural trait, yet human culture consists of the accumulation of very many traits. Here we introduce a new modeling strategy that tracks the adaptive value of many cultural traits, showing that genetic evolution favors only limited social learning owing to the accumulation of maladaptive as well as adaptive culture. We further show that culture can be adaptive, and refined social learning can evolve, if individuals can identify and discard maladaptive culture. This suggests that the evolution of such "adaptive filtering" mechanisms may have been crucial for the birth of human culture.

Cross-cultural Comparison of Learning in Human Hunting : Implications for Life History Evolution.

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MacDonald, Katharine

2007-12-01

This paper is a cross-cultural examination of the development of hunting skills and the implications for the debate on the role of learning in the evolution of human life history patterns. While life history theory has proven to be a powerful tool for understanding the evolution of the human life course, other schools, such as cultural transmission and social learning theory, also provide theoretical insights. These disparate theories are reviewed, and alternative and exclusive predictions are identified. This study of cross-cultural regularities in how children learn hunting skills, based on the ethnographic literature on traditional hunters, complements existing empirical work and highlights future areas for investigation.

Social learning solves the problem of narrow-peaked search landscapes : experimental evidence in humans

NARCIS (Netherlands)

Acerbi, A.; Tennie, C.; Mesoudi, A.

2016-01-01

The extensive use of social learning is considered a major reason for the ecological success of humans. Theoretical considerations, models and experiments have explored the evolutionary basis of social learning, showing the conditions under which learning from others is more adaptive than individual

Previous experience in manned space flight: A survey of human factors lessons learned

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Chandlee, George O.; Woolford, Barbara

1993-01-01

Previous experience in manned space flight programs can be used to compile a data base of human factors lessons learned for the purpose of developing aids in the future design of inhabited spacecraft. The objectives are to gather information available from relevant sources, to develop a taxonomy of human factors data, and to produce a data base that can be used in the future for those people involved in the design of manned spacecraft operations. A study is currently underway at the Johnson Space Center with the objective of compiling, classifying, and summarizing relevant human factors data bearing on the lessons learned from previous manned space flights. The research reported defines sources of data, methods for collection, and proposes a classification for human factors data that may be a model for other human factors disciplines.

Human Cadavers vs. Multimedia Simulation: A Study of Student Learning in Anatomy

Science.gov (United States)

Saltarelli, Andrew J.; Roseth, Cary J.; Saltarelli, William A.

2014-01-01

Multimedia and simulation programs are increasingly being used for anatomy instruction, yet it remains unclear how learning with these technologies compares with learning with actual human cadavers. Using a multilevel, quasi-experimental-control design, this study compared the effects of "Anatomy and Physiology Revealed" (APR) multimedia…

Tension in the Natural History of Human Thinking

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Moll Henrike

2016-03-01

Full Text Available Michael Tomasello has greatly expanded our knowledge of human cognition and how it differs from that of other animals. In this commentary to his recent book A Natural History of Human Thinking, I first critique some of the presuppositions and arguments of his evolutionary story about how homo sapiens’ cognition emerged. For example, I question the strategy of relying on the modern chimpanzee as a model for our last shared ancestor, and I doubt the idea that what changed first over evolutionary time was hominin behavior, which then in turn brought about changes in cognition. In the second half of the commentary I aim to show that the author oscillates between an additive and a transformative account of human shared intentionality. I argue that shared intentionality shapes cognition in its entirety and therefore precludes the possibility that humans have the same, individual intentionality (as shown in, e.g. their instrumental reasoning as other apes.

Prospective Elementary Teachers' Understanding of the Nature of Science and Perceptions of the Classroom Learning Environment

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Martin-Dunlop, Catherine S.

2013-01-01

This study investigated prospective elementary teachers' understandings of the nature of science and explored associations with their guided-inquiry science learning environment. Over 500 female students completed the Nature of Scientific Knowledge Survey (NSKS), although only four scales were analyzed-Creative, Testable, Amoral, and Unified. The…

Neural prediction errors reveal a risk-sensitive reinforcement-learning process in the human brain.

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Niv, Yael; Edlund, Jeffrey A; Dayan, Peter; O'Doherty, John P

2012-01-11

Humans and animals are exquisitely, though idiosyncratically, sensitive to risk or variance in the outcomes of their actions. Economic, psychological, and neural aspects of this are well studied when information about risk is provided explicitly. However, we must normally learn about outcomes from experience, through trial and error. Traditional models of such reinforcement learning focus on learning about the mean reward value of cues and ignore higher order moments such as variance. We used fMRI to test whether the neural correlates of human reinforcement learning are sensitive to experienced risk. Our analysis focused on anatomically delineated regions of a priori interest in the nucleus accumbens, where blood oxygenation level-dependent (BOLD) signals have been suggested as correlating with quantities derived from reinforcement learning. We first provide unbiased evidence that the raw BOLD signal in these regions corresponds closely to a reward prediction error. We then derive from this signal the learned values of cues that predict rewards of equal mean but different variance and show that these values are indeed modulated by experienced risk. Moreover, a close neurometric-psychometric coupling exists between the fluctuations of the experience-based evaluations of risky options that we measured neurally and the fluctuations in behavioral risk aversion. This suggests that risk sensitivity is integral to human learning, illuminating economic models of choice, neuroscientific models of affective learning, and the workings of the underlying neural mechanisms.

CHISSL: A Human-Machine Collaboration Space for Unsupervised Learning

Energy Technology Data Exchange (ETDEWEB)

Arendt, Dustin L.; Komurlu, Caner; Blaha, Leslie M.

2017-07-14

We developed CHISSL, a human-machine interface that utilizes supervised machine learning in an unsupervised context to help the user group unlabeled instances by her own mental model. The user primarily interacts via correction (moving a misplaced instance into its correct group) or confirmation (accepting that an instance is placed in its correct group). Concurrent with the user's interactions, CHISSL trains a classification model guided by the user's grouping of the data. It then predicts the group of unlabeled instances and arranges some of these alongside the instances manually organized by the user. We hypothesize that this mode of human and machine collaboration is more effective than Active Learning, wherein the machine decides for itself which instances should be labeled by the user. We found supporting evidence for this hypothesis in a pilot study where we applied CHISSL to organize a collection of handwritten digits.

Macaque monkeys can learn token values from human models through vicarious reward.

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Bevacqua, Sara; Cerasti, Erika; Falcone, Rossella; Cervelloni, Milena; Brunamonti, Emiliano; Ferraina, Stefano; Genovesio, Aldo

2013-01-01

Monkeys can learn the symbolic meaning of tokens, and exchange them to get a reward. Monkeys can also learn the symbolic value of a token by observing conspecifics but it is not clear if they can learn passively by observing other actors, e.g., humans. To answer this question, we tested two monkeys in a token exchange paradigm in three experiments. Monkeys learned token values through observation of human models exchanging them. We used, after a phase of object familiarization, different sets of tokens. One token of each set was rewarded with a bit of apple. Other tokens had zero value (neutral tokens). Each token was presented only in one set. During the observation phase, monkeys watched the human model exchange tokens and watched them consume rewards (vicarious rewards). In the test phase, the monkeys were asked to exchange one of the tokens for food reward. Sets of three tokens were used in the first experiment and sets of two tokens were used in the second and third experiments. The valuable token was presented with different probabilities in the observation phase during the first and second experiments in which the monkeys exchanged the valuable token more frequently than any of the neutral tokens. The third experiments examined the effect of unequal probabilities. Our results support the view that monkeys can learn from non-conspecific actors through vicarious reward, even a symbolic task like the token-exchange task.

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach

OpenAIRE

Weng, Wei-Hung; Wagholikar, Kavishwar B.; McCray, Alexa T.; Szolovits, Peter; Chueh, Henry C.

2017-01-01

Background The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constructed a machine learning-based natural language processing (NLP) pipeline and developed medical subdomain classifiers based on the content of the note. Methods We constructed the pipeline using the clinical ...

The impacts of nature experience on human cognitive function and mental health.

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Bratman, Gregory N; Hamilton, J Paul; Daily, Gretchen C

2012-02-01

Scholars spanning a variety of disciplines have studied the ways in which contact with natural environments may impact human well-being. We review the effects of such nature experience on human cognitive function and mental health, synthesizing work from environmental psychology, urban planning, the medical literature, and landscape aesthetics. We provide an overview of the prevailing explanatory theories of these effects, the ways in which exposure to nature has been considered, and the role that individuals' preferences for nature may play in the impact of the environment on psychological functioning. Drawing from the highly productive but disparate programs of research in this area, we conclude by proposing a system of categorization for different types of nature experience. We also outline key questions for future work, including further inquiry into which elements of the natural environment may have impacts on cognitive function and mental health; what the most effective type, duration, and frequency of contact may be; and what the possible neural mechanisms are that could be responsible for the documented effects. © 2012 New York Academy of Sciences.

Audio-Visual Tibetan Speech Recognition Based on a Deep Dynamic Bayesian Network for Natural Human Robot Interaction

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Yue Zhao

2012-12-01

Full Text Available Audio-visual speech recognition is a natural and robust approach to improving human-robot interaction in noisy environments. Although multi-stream Dynamic Bayesian Network and coupled HMM are widely used for audio-visual speech recognition, they fail to learn the shared features between modalities and ignore the dependency of features among the frames within each discrete state. In this paper, we propose a Deep Dynamic Bayesian Network (DDBN to perform unsupervised extraction of spatial-temporal multimodal features from Tibetan audio-visual speech data and build an accurate audio-visual speech recognition model under a no frame-independency assumption. The experiment results on Tibetan speech data from some real-world environments showed the proposed DDBN outperforms the state-of-art methods in word recognition accuracy.

Anthropologia transscendentalis. Kant's theory of human nature.

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Battaglia, F

2012-01-01

In recent years mankind has greatly extended its knowledge of living things, in general, and itself, in particular. Such a wide-ranging body of knowledge has consequently led to the need for a theory to encompass it, that is, a coherent framework in which to systematically arrange mankind's understanding of itself, not only with regard to its physical nature, but to its individuality and sociality as well. Such a theory would moreover provide the means to mediate between the various domains of scientific and technological enquiry, on the one hand, and the cultural dimensions of human society, on the other. Already in the 18th century, Immanuel Kant strove to establish a discipline that was systematic, yet at the same time accessible. It was due to his efforts that philosophical anthropology was introduced into university curricula, to the benefit not only of philosophers, but of physicians and jurists as well. Kant's position is by no means prejudicial towards science. To the contrary, he was quite careful to appraise the impact of the sciences on the overall cognitive horizons of mankind and therefore on their potential to influence humankind's idea of itself. Clearly such a perspective is relevant to today's strongly felt need to reconcile modern neuroscience's revolutionary findings on the biological bases of the mind - of man's experience and behaviour - with the idea man needs of himself in order to orient his actions not only as individual but also as "citizen of the world" as well - something on which Kant worked with unremitting commitment throughout his entire research career. This article traces Kant's anthropological conception with regard to four specific issues: (1) its relation to science; (2) the relationship between empirical and transcendental in the speculative use and in practical use of reason; (3) the dialectic between what nature does and what human beings does, in the construction of humanity itself; (4) and finally about the character of the

Evolution, brain, and the nature of language.

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Berwick, Robert C; Friederici, Angela D; Chomsky, Noam; Bolhuis, Johan J

2013-02-01

Language serves as a cornerstone for human cognition, yet much about its evolution remains puzzling. Recent research on this question parallels Darwin's attempt to explain both the unity of all species and their diversity. What has emerged from this research is that the unified nature of human language arises from a shared, species-specific computational ability. This ability has identifiable correlates in the brain and has remained fixed since the origin of language approximately 100 thousand years ago. Although songbirds share with humans a vocal imitation learning ability, with a similar underlying neural organization, language is uniquely human. Copyright © 2012 Elsevier Ltd. All rights reserved.

US Department of Energy natural phenomena design/evaluation guidelines/lessons learned

International Nuclear Information System (INIS)

Conrads, T.J.

1991-08-01

In the spring of 1988, DOE Order 6430.1A, General Design Criteria [1], was issued for use. This document references UCRL-15910, Design and Evaluation Guidelines for DOE Facilities Subjected to Natural Phenomena Hazards [2], which is to be used as the basis for the design and evaluation of new and existing facilities to natural phenomena loading. Rather than use the historical deterministic methods for computing structural and component loading from potential natural phenomena, UCRL-15910 incorporated the years of hazards studies conducted throughout the US Department of Energy complex into probabilistic-based methods. This paper describes the process used to incorporate US Department of Energy natural phenomena design guidelines into the Hanford Plant Standards -- Standard Design Criteria for Architectural and Civil Standards [3]. It also addresses the subsequent use of these criteria during structural assessments of facilities, systems, and components of various vintage in support of updating safety analysis reports. The paper includes comparison of results using these most recent probabilistic-based natural phenomena loading criteria to those obtained from previous assessments, and it addresses the lessons learned from the many structural evaluations of 1940--1960 vintage buildings

Learning from video modeling examples : Effects of seeing the human model's face

NARCIS (Netherlands)

Van Gog, Tamara; Verveer, Ilse; Verveer, Lise

2014-01-01

Video modeling examples in which a human(-like) model shows learners how to perform a task are increasingly used in education, as they have become very easy to create and distribute in e-learning environments. However, little is known about design guidelines to optimize learning from video modeling

Human Rights Degradations Related to Natural Law: Philosophical-Juridic Self-Legitimation of Franquism

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César López Rodríguez

2017-11-01

Full Text Available This essay identifies the problematic theoretical nature of human rights under Franco's regime, in the light of either a traditionalist or a totalitarian objective natural right's discursive hegemony. This contradictory theoretical alternative was already present in Ramiro de Maeztu's legal-political doctrine, which as the theoretical seed of the regime, led to those contradictions as embodied in two authors: F. Elías de Tejada and L. Legaz Lacambra. Drawing on a political critique of the text itself, the conclusion evinces the doctrinal state of human rights in the current Spanish constitutional system, exposing its contradictions as derived not from a traditionalist or a totalitarian objective natural right but from a subjective natural right.

Chronic mitragynine (kratom) enhances punishment resistance in natural reward seeking and impairs place learning in mice.

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Ismail, Nurul Iman W; Jayabalan, Nanthini; Mansor, Sharif Mahsufi; Müller, Christian P; Muzaimi, Mustapha

2017-07-01

Kratom (Mitragyna speciosa) is a widely abused herbal drug preparation in Southeast Asia. It is often consumed as a substitute for heroin, but imposing itself unknown harms and addictive burdens. Mitragynine is the major psychostimulant constituent of kratom that has recently been reported to induce morphine-like behavioural and cognitive effects in rodents. The effects of chronic consumption on non-drug related behaviours are still unclear. In the present study, we investigated the effects of chronic mitragynine treatment on spontaneous activity, reward-related behaviour and cognition in mice in an IntelliCage® system, and compared them with those of morphine and Δ-9-tetrahydrocannabinol (THC). We found that chronic mitragynine treatment significantly potentiated horizontal exploratory activity. It enhanced spontaneous sucrose preference and also its persistence when the preference had aversive consequences. Furthermore, mitragynine impaired place learning and its reversal. Thereby, mitragynine effects closely resembled that of morphine and THC sensitisation. These findings suggest that chronic mitragynine exposure enhances spontaneous locomotor activity and the preference for natural rewards, but impairs learning and memory. These findings confirm pleiotropic effects of mitragynine (kratom) on human lifestyle, but may also support the recognition of the drug's harm potential. © 2016 Society for the Study of Addiction.

CONSIDERATIONS REGARDING THE INTEGRATION OF FUNDAMENTAL HUMAN RIGHTS IN THE SYSTEM OF NATURAL LAW

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Claudiu Ramon D. Butculescu

2016-11-01

Full Text Available This article studies the relationships and interactions between fundamental human rights and natural law school. The objectives of this paper are circumscribed to the way fundamental human rights, by their nature, can be integrated within the doctrine of natural law or to the contrary, may be related to various branches of legal positivism. In specialized literature, it was pointed out that fundamental human rights constitute genuine natural rights which have the same natural law recognized attributes: immutability, non-alienable nature et. al. However, in the context of contemporary changes within the European Union, generated by cultural differences which are becoming ever more significant, the question rises of whether those rights are in fact a creation of legal positivism. Within the paperthere are several doctrine opinions described, as well as some arguments for reconsidering the placement of fundamental rights within the sphere of legal positivism. Using the comparative method, the study analyzes the common points and the points of divergence between fundamental rights and the doctrines of natural law and legal positivism, seen through the prism of the general theory of systems, legal culture, legal colonialism and legal ethnocentrism.

How do different humanness measures relate? Confronting the attribution of secondary emotions, human uniqueness, and human nature traits.

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Martínez, Rocío; Rodriguez-Bailon, Rosa; Moya, Miguel; Vaes, Jeroen

2017-01-01

The present research examines the relationship between the infrahumanization approach and the two-dimensional model of humanness: an issue that has received very little empirical attention. In Study 1, we created three unknown groups (Humanized, Animalized, and Mechanized) granting/denying them Human Nature (HN) and Human Uniqueness (HU) traits. The attribution of primary/secondary emotions was measured. As expected, participants attributed more secondary emotions to the humanized compared to dehumanized groups. Importantly, both animalized and mechanized groups were attributed similar amounts of secondary emotions. In Study 2, the groups were described in terms of their capacity to express secondary emotions. We measured the attribution of HN/HU traits. Results showed that the infrahumanized group was denied both HU/HN traits. The results highlight the importance of considering the common aspects of both approaches in understanding processes of dehumanization.

Simulated human patients and patient-centredness: The uncanny hybridity of nursing education, technology, and learning to care.

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Ireland, Aileen V

2017-01-01

Positioned within a hybrid of the human and technology, professional nursing practice has always occupied a space that is more than human. In nursing education, technology is central in providing tools with which practice knowledge is mobilized so that students can safely engage with simulated human patients without causing harm to real people. However, while there is an increased emphasis on deploying these simulated humans as emissaries from person-centred care to demonstrate what it is like to care for real humans, the nature of what is really going on in simulation-what is real and what is simulated-is very rarely discussed and poorly understood. This paper explores how elements of postcolonial critical thought can aid in understanding the challenges of educating nurses to provide person-centred care within a healthcare culture that is increasingly reliant on technology. Because nursing education is itself a hybrid of real and simulated practice, it provides an appropriate case study to explore the philosophical question of technology in healthcare discourse, particularly as it relates to the relationship between the human patient and its uncanny simulated double. Drawing on postcolonial elements such as the uncanny, diaspora, hybridity, and créolité, the hybrid conditions of nursing education are examined in order to open up new possibilities of thinking about how learning to care is entangled with this technological space to assist in shaping professional knowledge of person-centred care. Considering these issues through a postcolonial lens opens up questions about the nature of the difficulty in using simulated human technologies in clinical education, particularly with the paradoxical aim of providing person-centred care within a climate that increasingly characterized as posthuman. © 2016 John Wiley & Sons Ltd.

Examining fire-prone forest landscapes as coupled human and natural systems

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Thomas A. Spies; Eric M. White; Jeffrey D. Kline; A. Paige Fisher; Alan Ager; John Bailey; John Bolte; Jennifer Koch; Emily Platt; Christine S. Olsen; Derric Jacobs; Bruce Shindler; Michelle M. Steen-Adams; Roger. Hammer

2014-01-01

Fire-prone landscapes are not well studied as coupled human and natural systems (CHANS) and present many challenges for understanding and promoting adaptive behaviors and institutions. Here, we explore how heterogeneity, feedbacks, and external drivers in this type of natural hazard system can lead to complexity and can limit the development of more adaptive approaches...

Learning to Attend and Observe: Parent-Child Meaning Making in the Natural World

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Marin, Ananda Maria

Observation is a traditional form of learning and a scientific practice, and as such it plays a significant role in teaching and learning both inside and outside of schools. Recently, educational researchers and philosophers have called attention to the role of observation in scientific knowledge building (Brayboy & Castagno, 2008; Cajete, 2000; Datson & Lunbeck, 2011; Eberbach, 2009; Eberbach & Crowley, 2009; Kawagley, 2006; Norris, 1985; Smith & Reiser, 2005). These scholars have foregrounded the complexity of observation, particularly as it applies to inquiry practices in those domains which are heavily reliant on observation (Eberbach & Crowley, 2009; Maltese, Balliet, & Riggs, 2013; Smith & Reiser, 2005). My dissertation research examines how families with young children engage in the coordinated activity of observation during forest walks. I focus on the ways in which attentional practices support observational inquiry among parents and children between the ages of 5 to 7. Specifically, I examine how families coordinate attention and highlight features of the environment in order to make them observable. I use a mixed methods approach to investigate the range of interactional resources parents and children use as they engage in observation and learning about the natural world. Building on Indigenous scholarship (Cajete, 2000; Deloria & Wildcat, 2010; Kawagley, 2006), sociocultural theories and ecological approaches to development (Cole, 1996; Goodwin, 1994; Ingold, 2000; Rogoff, 2003) and conversation analysis (Heritage, 2008; Pomerantz & Fehr, 1997), I develop a taxonomy of forms of coordination and discuss how spatial arrangements and language work together to link attention, observations and explanations. This work further contributes to our understanding of the situated and cultural nature of learning and serves as a resource for the design of place-based learning environments that are based on the intellectual strengths and resources of diverse families.

Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster.

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Wang, Qi; Taylor, John E

2016-01-01

Natural disasters pose serious threats to large urban areas, therefore understanding and predicting human movements is critical for evaluating a population's vulnerability and resilience and developing plans for disaster evacuation, response and relief. However, only limited research has been conducted into the effect of natural disasters on human mobility. This study examines how natural disasters influence human mobility patterns in urban populations using individuals' movement data collected from Twitter. We selected fifteen destructive cases across five types of natural disaster and analyzed the human movement data before, during, and after each event, comparing the perturbed and steady state movement data. The results suggest that the power-law can describe human mobility in most cases and that human mobility patterns observed in steady states are often correlated with those in perturbed states, highlighting their inherent resilience. However, the quantitative analysis shows that this resilience has its limits and can fail in more powerful natural disasters. The findings from this study will deepen our understanding of the interaction between urban dwellers and civil infrastructure, improve our ability to predict human movement patterns during natural disasters, and facilitate contingency planning by policymakers.

Moving the boundaries : peer learning between nursing and physiotherapy students

OpenAIRE

Fogstad, Lise; Christiansen, Bjørg

2011-01-01

Aim: The objective of this study was to explore nursing and physiotherapy students’ views on peer learning as an innovative learning strategy. Background: Departments of nursing and physiotherapy at Oslo University College, Norway, initiated a cooperative project based on interdisciplinary and cross-level learning in patient transfer activities. Patient transfer is based on natural human body movement patterns, ergonomics, and communication skills. The project involved partnering sec...

The Virtual Teacher (VT) Paradigm: Learning New Patterns of Interpersonal Coordination Using the Human Dynamic Clamp.

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Kostrubiec, Viviane; Dumas, Guillaume; Zanone, Pier-Giorgio; Kelso, J A Scott

2015-01-01

The Virtual Teacher paradigm, a version of the Human Dynamic Clamp (HDC), is introduced into studies of learning patterns of inter-personal coordination. Combining mathematical modeling and experimentation, we investigate how the HDC may be used as a Virtual Teacher (VT) to help humans co-produce and internalize new inter-personal coordination pattern(s). Human learners produced rhythmic finger movements whilst observing a computer-driven avatar, animated by dynamic equations stemming from the well-established Haken-Kelso-Bunz (1985) and Schöner-Kelso (1988) models of coordination. We demonstrate that the VT is successful in shifting the pattern co-produced by the VT-human system toward any value (Experiment 1) and that the VT can help humans learn unstable relative phasing patterns (Experiment 2). Using transfer entropy, we find that information flow from one partner to the other increases when VT-human coordination loses stability. This suggests that variable joint performance may actually facilitate interaction, and in the long run learning. VT appears to be a promising tool for exploring basic learning processes involved in social interaction, unraveling the dynamics of information flow between interacting partners, and providing possible rehabilitation opportunities.

Waist-High and Knee-Deep: Humane Learning beyond Polemics and Precincts

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Higgins, Chris

2015-01-01

In this essay, Chris Higgins sets out to disentangle the tradition of humane learning from contemporary distinctions and debates. The first section demonstrates how a bloated and incoherent "humanism" now functions primarily as a talisman or a target, that is, as a prompt to choose sides. It closes with the image of Doris Salcedo's…

The idea of human prehistory: the natural sciences, the human sciences, and the problem of human origins in Victorian Britain.

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Goodrum, Matthew R

2012-01-01

The idea of human prehistory was a provocative and profoundly influential new notion that took shape gradually during the nineteenth century. While archaeology played an important role in providing the evidence for this idea many other sciences such as geology, paleontology, ethnology, and physical anthropology all made critical contributions to discussions about human prehistory. Many works have explored the history of prehistoric archaeology but this paper examines the conceptual content of the idea of "human prehistory" as it developed in the British scientific community. Both the natural and the human sciences contributed to what was in fact a complex collection of individual elements that together constituted the prevailing idea of human prehistory, although there were other competing conceptions of human prehistory endorsed by various scientists and critics of the new view of early human history.

Mindsets and human nature: promoting change in the Middle East, the schoolyard, the racial divide, and willpower.

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Dweck, Carol S

2012-11-01

Debates about human nature often revolve around what is built in. However, the hallmark of human nature is how much of a person's identity is not built in; rather, it is humans' great capacity to adapt, change, and grow. This nature versus nurture debate matters-not only to students of human nature-but to everyone. It matters whether people believe that their core qualities are fixed by nature (an entity theory, or fixed mindset) or whether they believe that their qualities can be developed (an incremental theory, or growth mindset). In this article, I show that an emphasis on growth not only increases intellectual achievement but can also advance conflict resolution between long-standing adversaries, decrease even chronic aggression, foster cross-race relations, and enhance willpower. I close by returning to human nature and considering how it is best conceptualized and studied. PsycINFO Database Record (c) 2012 APA, all rights reserved.

Science, human nature, and a new paradigm for ethics education.

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Lampe, Marc

2012-09-01

For centuries, religion and philosophy have been the primary basis for efforts to guide humans to be more ethical. However, training in ethics and religion and imparting positive values and morality tests such as those emanating from the categorical imperative and the Golden Rule have not been enough to protect humankind from its bad behaviors. To improve ethics education educators must better understand aspects of human nature such as those that lead to "self-deception" and "personal bias." Through rationalizations, faulty reasoning and hidden bias, individuals trick themselves into believing there is little wrong with their own unethical behavior. The application of science to human nature offers the possibility of improving ethics education through better self-knowledge. The author recommends a new paradigm for ethics education in contemporary modern society. This includes the creation of a new field called "applied evolutionary neuro-ethics" which integrates science and social sciences to improve ethics education. The paradigm can merge traditional thinking about ethics from religious and philosophical perspectives with new ideas from applied evolutionary neuro-ethics.

Family learning with mobile devices in the outdoors: Designing an e-Trailguide to facilitate families' joint engagement with the natural world

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McClain, Lucy R.

This study describes the implementation of a self-guiding mobile learning tool designed to support families' engagements with the natural world as they explored the flora and fauna along one nature trail at an environmental center. Thirty-one family groups (n = 105 individuals) participated in this study during the summer season and used an iPad-based e-Trailguide during their nature walk. Design-based research methods guided this study's design, which focused on the third iteration of the e-Trailguide. Data included evaluation of families' content knowledge gains related to the local biodiversity as revealed through post-hike interviews, while videorecords of each family's nature walk experience were also collected. Qualitative analyses focused on the design features within the e-Trailguide that supported the families' technology-mediated engagements with nature and their interactions with each other at one Discovery Spot along the nature trail. Findings include: (a) open-ended interviews after the e-Trailguide experience provided a descriptive understanding of the families' conceptual knowledge gains; (b) four place-based design features within the e-Trailguide enabled and supported families' observational, pointing, and tactile investigation engagements with the natural world; (c) parents took on teacher-like roles for their children by connecting information from the e-Trailguide to the natural objects nearby as evidenced through their frequency of pointing gestures; and (d) the development of an analytical framework related to joint observation strategies used between family members to support science-related sense making. Design recommendations for the future implementation of e-Trailguides in outdoor settings include the incorporation of place-based observational questions, place-based textual prompts for focusing observations, drawing activities to record observations, and place-based images to support identification of wildlife. Key words: family learning

Are Human and Natural Systems Decoupling?

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Ehrlich, P. R.; Ehrlich, A. H.

2012-12-01

Typically, studies of coupled human and natural systems focus on reciprocating interactions and feedbacks between social systems and their biophysical environments. A major challenge today for CHANS scholars is to determine whether significant coupling remains or whether society is simply plunging ahead without reacting effectively to the deterioration of the environment. Thresholds for serious climate disruption are passing, toxification of Earth is proceeding apace and producing worrying symptoms, losses of vital biodiversity are at a 65 million-year high with serious consequences for ecosystem services, the epidemiological environment is deteriorating and a race is building to control water flows and extract the last high-quality resources, increasing the chances of ending civilization in an environment-wrecking nuclear war. The social system has attempted to respond to this perfect storm of problems. In the 1960s, building on much earlier work, scientists began assessing the consequences of an ever-growing human population and expanding consumption, overuse of pesticides, radioactive fallout, air and water pollution, and other environmental issues - and to recommend ameliorative steps. In the mid-1980s, biologists formed the discipline of conservation biology with the explicit purpose of stemming the hemorrhage of biodiversity. In the late 1980s, perhaps the single most important reaction to the worsening environmental situation was the development of the Montreal Protocol to preserve the vital stratospheric ozone layer. Around the same time, it dawned on the scientific community that climate disruption was going to be more immediate and dangerous than previously thought, but attempts by the world community to take mitigating steps have been pathetic. Action to deal with other dimensions of the environmental dilemma has been utterly inadequate. To see the growing disconnect, one only has to consider the attention paid in public discourse to the relatively

Naturally Acquired Mentoring Relationships and Young Adult Outcomes among Adolescents with Learning Disabilities

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Ahrens, Kym; DuBois, David Lane; Lozano, Paula; Richardson, Laura P.

2010-01-01

We evaluated whether having a naturally acquired mentor during adolescence was associated with improved adult outcomes among youth with learning disabilities (YLD). Mentored youth were more likely to have graduated from high school, reported a higher level of self-esteem, and reported a higher overall number of positive outcomes than nonmentored…

The development of learning model for natural science based on environmental in conservation area of Bengkulu University

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Karyadi, B.; Susanta, A.; Winari, E. W.; Ekaputri, R. Z.; Enersi, D.

2018-05-01

Research on development of a learning model for Natural Science base on conservation area in Bengkulu University has been conducted. The research methods were referred to the standard steps of Research and Development. Stage activities were (a) analysis of needs, (b) observation of the ecological aspects of conservation area as a learning resource, and (c) instructional design based on conservation area for secondary school students. The observation results on the ecological aspects revealed that the diversity of plants and animals, at the conservation area were sufficient as a source for learning. The instructional design was prepared in three phase activities namely Introduction-Exploration-Interpretation (IEI), and then it was compiled in a teaching material Based on Surrounding Natural Environment” (BSNE). The results of a limited scale trial at secondary school students in two districts of Bengkulu province showed that, the students who learned using the IEI model at the conservation area have a good performance and critical thinking. The product from the research is a book named BSNE that can be used for teachers and conservation practitioners in doing the learning activities on environmental conservation which involved public participation.

Lessons learned from HRA and human-system modeling efforts

International Nuclear Information System (INIS)

Hallbert, B.P.

1993-01-01

Human-System modeling is not unique to the field of Human Reliability Analysis (HRA). Since human factors professionals first began their explorations of human activities, they have done so with the concept of open-quotes systemclose quotes in mind. Though the two - human and system - are distinct, they can be properly understood only in terms of each other: the system provides a context in which goals and objectives for work are defined, and the human plays either a pre-defined or ad hoc role in meeting these goals. In this sense, every intervention which attempts to evaluate or improve upon some system parameter requires that an understanding of human-system interactions be developed. It is too often the case, however, that somewhere between the inception of a system and its implementation, the human-system relationships are overlooked, misunderstood, or inadequately framed. This results in mismatches between demands versus capabilities of human operators, systems which are difficult to operate, and the obvious end product-human error. The lessons learned from human system modeling provide a valuable feedback mechanism to the process of HRA, and the technologies which employ this form of modeling

Literacy Learning in a Digitally Rich Humanities Classroom: Embracing Multiple, Collaborative, and Simultaneous Texts

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Buckley-Marudas, Mary Frances

2016-01-01

Understanding what happens when teachers embrace digital media for literacy learning is critical to realizing the potential of learning in the digital era. This article examines some of the ways that a high school teacher and his students leverage digital technologies for literacy learning in their humanities classrooms. The author introduces the…

Nonlinear impacts of small-scale natural events on Nineteenth Century human decision-making

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McCormack, S. M.; Schlichting, K. M.; Urbanova, T.; Allen, T. L.; Ruffing, C. M.; Hermans, C. M.

2009-12-01

Natural climatological events that occurred throughout the Nineteenth Century, such as floods, droughts and hurricanes had long-lived, far-reaching consequences on the human decision-making processes occurring in the northeast United States. These events impacted the hydrological cycle, both directly -though the building of various structures- and indirectly - through an increased understanding of science; and the changing relationship between humans and their environment. This paper examines these events and associated processes through: 1) identifying specific natural events throughout the time period, occurring globally, with initial conditions conducive to long-lived consequences; 2) examining the relationship between scientific enquiry, natural events and the proliferation of dams in the northeast landscape; and 3) the growth of public health concerns, awareness of bacteriology, and municipal water supply systems. Results of this research indicate that the relationship between knowledge systems, natural events and subsequent engineering or technological fixes is complex and highly dependent on initial conditions. It highlights the time period where humans became increasingly dependent on engineered solutions to environmental problems, many of which still hold fast in our contemporary landscape. It is relevant to natural, social and governance structures in place today. The principles behind the occurrence of the natural phenomena and subsequent research and design have not changed; and understanding key events or stages in the past is tantamount to making predictions for the future.

Using Complementary Learning Clusters in Studying Literature to Enhance Students' Medical Humanities Literacy, Critical Thinking, and English Proficiency.

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Liao, Hung-Chang; Wang, Ya-Huei

2016-04-01

This study examined whether students studying literature in complementary learning clusters would show more improvement in medical humanities literacy, critical thinking skills, and English proficiency compared to those in conventional learning clusters. Ninety-three students participated in the study (M age = 18.2 years, SD = 0.4; 36 men, 57 women). A quasi-experimental design was used over 16 weeks, with the control group (n = 47) working in conventional learning clusters and the experimental group (n = 46) working in complementary learning clusters. Complementary learning clusters were those in which individuals had complementary strengths enabling them to learn from and offer assistance to other cluster members, hypothetically facilitating the learning process. Measures included the Medical Humanities Literacy Scale, Critical Thinking Disposition Assessment, English proficiency tests, and Analytic Critical Thinking Scoring Rubric. The results showed that complementary learning clusters have the potential to improve students' medical humanities literacy, critical thinking skills, and English proficiency. © The Author(s) 2016.

Genetic radiation effects and natural radioactivity of human population in Brazil

International Nuclear Information System (INIS)

Freire-Maia, A.

1972-01-01

A study on areas of natural radioactivity is done, covering the genetic effects on human population. The study is done in depth dealing with aspecto such as radioactive area involved, discussion of materials and methods, errors and fallacies, influential factors, models, buildup and natural radioactivity, hypotheses, results and perspectives, etc. It covers 24 localites, 8.572 couples and 43.930 pregnancy cases [pt

Coupled human and natural systems approach to wildlife research and conservation

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Neil H. Carter

2014-09-01

Full Text Available Conserving wildlife while simultaneously meeting the resource needs of a growing human population is a major sustainability challenge. As such, using combined social and environmental perspectives to understand how people and wildlife are interlinked, together with the mechanisms that may weaken or strengthen those linkages, is of utmost importance. However, such integrated information is lacking. To help fill this information gap, we describe an integrated coupled human and natural systems (CHANS approach for analyzing the patterns, causes, and consequences of changes in wildlife population and habitat, human population and land use, and their interactions. Using this approach, we synthesize research in two sites, Wolong Nature Reserve in China and Chitwan National Park in Nepal, to explicate key relationships between people and two globally endangered wildlife conservation icons, the giant panda and the Bengal tiger. This synthesis reveals that local resident characteristics such as household socioeconomics and demography, as well as community-level attributes such as resource management organizations, affect wildlife and their habitats in complex and even countervailing ways. Human impacts on wildlife and their habitats are in turn modifying the suite of ecosystem services that they provide to local residents in both sites, including access to forest products and cultural values. These interactions are further complicated by human and natural disturbance (e.g., civil wars, earthquakes, feedbacks (including policies, and telecouplings (socioeconomic and environmental interactions over distances that increasingly link the focal systems with other distant systems. We highlight several important implications of using a CHANS approach for wildlife research and conservation that is useful not only in China and Nepal but in many other places around the world facing similar challenges.

Acute social stress increases biochemical and self report markers of stress without altering spatial learning in humans.

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Klopp, Christine; Garcia, Carlos; Schulman, Allan H; Ward, Christopher P; Tartar, Jaime L

2012-01-01

Spatial learning is shown to be influenced by acute stress in both human and other animals. However, the intricacies of this relationship are unclear. Based on prior findings we hypothesized that compared to a control condition, a social stress condition would not affect spatial learning performance despite elevated biochemical markers of stress. The present study tested the effects of social stress in human males and females on a subsequent spatial learning task. Social stress induction consisted of evaluative stress (the Trier Social Stress Test, TSST) compared to a placebo social stress. Compared to the placebo condition, the TSST resulted in significantly elevated cortisol and alpha amylase levels at multiple time points following stress induction. In accord, cognitive appraisal measures also showed that participants in the TSST group experienced greater perceived stress compared to the placebo group. However, there were no group differences in performance on a spatial learning task. Our findings suggest that unlike physiological stress, social stress does not result in alterations in spatial learning in humans. It is possible that moderate social evaluative stress in humans works to prevent acute stress-mediated alterations in hippocampal learning processes..

Nature and the Outdoor Learning Environment: The Forgotten Resource in Early Childhood Education

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Cooper, Allen

2015-01-01

Longitudinal studies now confirm the economic, academic, and social importance of high-quality early childhood education. At the same time, a substantial body of research indicates that an outdoor learning and play environment with diverse natural elements advances and enriches all of the domains relevant to the development, health, and well-being…

Learning and Recognition of a Non-conscious Sequence of Events in Human Primary Visual Cortex.

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Rosenthal, Clive R; Andrews, Samantha K; Antoniades, Chrystalina A; Kennard, Christopher; Soto, David

2016-03-21

Human primary visual cortex (V1) has long been associated with learning simple low-level visual discriminations [1] and is classically considered outside of neural systems that support high-level cognitive behavior in contexts that differ from the original conditions of learning, such as recognition memory [2, 3]. Here, we used a novel fMRI-based dichoptic masking protocol-designed to induce activity in V1, without modulation from visual awareness-to test whether human V1 is implicated in human observers rapidly learning and then later (15-20 min) recognizing a non-conscious and complex (second-order) visuospatial sequence. Learning was associated with a change in V1 activity, as part of a temporo-occipital and basal ganglia network, which is at variance with the cortico-cerebellar network identified in prior studies of "implicit" sequence learning that involved motor responses and visible stimuli (e.g., [4]). Recognition memory was associated with V1 activity, as part of a temporo-occipital network involving the hippocampus, under conditions that were not imputable to mechanisms associated with conscious retrieval. Notably, the V1 responses during learning and recognition separately predicted non-conscious recognition memory, and functional coupling between V1 and the hippocampus was enhanced for old retrieval cues. The results provide a basis for novel hypotheses about the signals that can drive recognition memory, because these data (1) identify human V1 with a memory network that can code complex associative serial visuospatial information and support later non-conscious recognition memory-guided behavior (cf. [5]) and (2) align with mouse models of experience-dependent V1 plasticity in learning and memory [6]. Copyright © 2016 Elsevier Ltd. All rights reserved.

A Tutoring System That Simulates the Highly Interactive Nature of Human Tutoring

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Katz, Sandra; Albacete, Patricia L.

2013-01-01

For some time, it has been clear that students who are tutored generally learn more than students who experience classroom instruction (e.g., Bloom, 1984). Much research has been devoted to identifying features of tutorial dialogue that can explain its effectiveness, so that these features can be simulated in natural-language tutoring systems. One…

Human Nature, Flourishing, and Happiness: Toward a Synthesis of Aristotelianism, Austrian Economics, Positive Psychology, and Ayn Rand’s Objectivism

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Edward W. Younkins

2010-11-01

Full Text Available This article presents a skeleton of a potential paradigm of human flourishing and happiness in a free society. It is an exploratory attempt to construct an understanding from various disciplines and to integrate them into a clear, consistent, coherent, and systematic whole. Holding that there are essential interconnections among objective ideas, the article specifically emphasizes the compatibility of Aristotelianism, Austrian Economics, Positive Psychology, and Ayn Rand’s Objectivism arguing that particular ideas from these areas can be integrated into a paradigm of human flourishing and happiness based on the nature of man and the world. Such a paradigm will help people to understand the world and to survive and flourish in it. It is hoped that the paradigm will grow and evolve as scholars engage, question, critique, interpret, and extend its ideas. Our goal is to have a paradigm that accords with reality and there is always more to learn from reality.

Two spatiotemporally distinct value systems shape reward-based learning in the human brain.

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Fouragnan, Elsa; Retzler, Chris; Mullinger, Karen; Philiastides, Marios G

2015-09-08

Avoiding repeated mistakes and learning to reinforce rewarding decisions is critical for human survival and adaptive actions. Yet, the neural underpinnings of the value systems that encode different decision-outcomes remain elusive. Here coupling single-trial electroencephalography with simultaneously acquired functional magnetic resonance imaging, we uncover the spatiotemporal dynamics of two separate but interacting value systems encoding decision-outcomes. Consistent with a role in regulating alertness and switching behaviours, an early system is activated only by negative outcomes and engages arousal-related and motor-preparatory brain structures. Consistent with a role in reward-based learning, a later system differentially suppresses or activates regions of the human reward network in response to negative and positive outcomes, respectively. Following negative outcomes, the early system interacts and downregulates the late system, through a thalamic interaction with the ventral striatum. Critically, the strength of this coupling predicts participants' switching behaviour and avoidance learning, directly implicating the thalamostriatal pathway in reward-based learning.

Learning about the Human Genome. Part 2: Resources for Science Educators. ERIC Digest.

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Haury, David L.

This ERIC Digest identifies how the human genome project fits into the "National Science Education Standards" and lists Human Genome Project Web sites found on the World Wide Web. It is a resource companion to "Learning about the Human Genome. Part 1: Challenge to Science Educators" (Haury 2001). The Web resources and…

Teaching and Learning Children's Human Rights: A Research Synthesis

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Brantefors, Lotta; Quennerstedt, Ann

2016-01-01

The study presented in this paper is a research synthesis examining how issues relating to the teaching and learning of children's human rights have been approached in educational research. Drawing theoretically on the European Didaktik tradition, the purpose of the paper is to map and synthesise the educational interest in children's rights…

Reasoning, learning, and creativity: frontal lobe function and human decision-making.

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Anne Collins

Full Text Available The frontal lobes subserve decision-making and executive control--that is, the selection and coordination of goal-directed behaviors. Current models of frontal executive function, however, do not explain human decision-making in everyday environments featuring uncertain, changing, and especially open-ended situations. Here, we propose a computational model of human executive function that clarifies this issue. Using behavioral experiments, we show that unlike others, the proposed model predicts human decisions and their variations across individuals in naturalistic situations. The model reveals that for driving action, the human frontal function monitors up to three/four concurrent behavioral strategies and infers online their ability to predict action outcomes: whenever one appears more reliable than unreliable, this strategy is chosen to guide the selection and learning of actions that maximize rewards. Otherwise, a new behavioral strategy is tentatively formed, partly from those stored in long-term memory, then probed, and if competitive confirmed to subsequently drive action. Thus, the human executive function has a monitoring capacity limited to three or four behavioral strategies. This limitation is compensated by the binary structure of executive control that in ambiguous and unknown situations promotes the exploration and creation of new behavioral strategies. The results support a model of human frontal function that integrates reasoning, learning, and creative abilities in the service of decision-making and adaptive behavior.

Reasoning, learning, and creativity: frontal lobe function and human decision-making.

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Collins, Anne; Koechlin, Etienne

2012-01-01

The frontal lobes subserve decision-making and executive control--that is, the selection and coordination of goal-directed behaviors. Current models of frontal executive function, however, do not explain human decision-making in everyday environments featuring uncertain, changing, and especially open-ended situations. Here, we propose a computational model of human executive function that clarifies this issue. Using behavioral experiments, we show that unlike others, the proposed model predicts human decisions and their variations across individuals in naturalistic situations. The model reveals that for driving action, the human frontal function monitors up to three/four concurrent behavioral strategies and infers online their ability to predict action outcomes: whenever one appears more reliable than unreliable, this strategy is chosen to guide the selection and learning of actions that maximize rewards. Otherwise, a new behavioral strategy is tentatively formed, partly from those stored in long-term memory, then probed, and if competitive confirmed to subsequently drive action. Thus, the human executive function has a monitoring capacity limited to three or four behavioral strategies. This limitation is compensated by the binary structure of executive control that in ambiguous and unknown situations promotes the exploration and creation of new behavioral strategies. The results support a model of human frontal function that integrates reasoning, learning, and creative abilities in the service of decision-making and adaptive behavior.

Rethinking urban nature to promote human well-being and livelihoods

DEFF Research Database (Denmark)

Raymond, Christopher; Gulsrud, Natalie Marie; Rodela, Romina

On the 25thJanuary, 25 researchers, social entrepreneurs and policy makers attended a MOVIUM and SLU Urban Futures funded workshop on “Rethinking urban nature to promote human well-being and livelihoods”. The objectives of the workshop wereto identify and discuss integrated digital, social...... of urbannature in Malmö. Each group was asked to present their presentation to the wider group, what inspired them the most from the workshop activity and how their understanding of integrated solutions in urban nature changed over the day.This report presents a summary of each group’screations and findings...... and nature solutions for the use, management and governance of urban nature in the City of Malmö;and to provide a platform for knowledge sharing and networking between researchers and practitioners.Multiple enlightening presentations on how to plan, design and manage urban nature were provided by the cities...

Robust representation and recognition of facial emotions using extreme sparse learning.

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Shojaeilangari, Seyedehsamaneh; Yau, Wei-Yun; Nandakumar, Karthik; Li, Jun; Teoh, Eam Khwang

2015-07-01

Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications, such as human-computer interaction, automated tutoring systems, image and video retrieval, smart environments, and driver warning systems. Traditionally, facial emotion recognition systems have been evaluated on laboratory controlled data, which is not representative of the environment faced in real-world applications. To robustly recognize the facial emotions in real-world natural situations, this paper proposes an approach called extreme sparse learning, which has the ability to jointly learn a dictionary (set of basis) and a nonlinear classification model. The proposed approach combines the discriminative power of extreme learning machine with the reconstruction property of sparse representation to enable accurate classification when presented with noisy signals and imperfect data recorded in natural settings. In addition, this paper presents a new local spatio-temporal descriptor that is distinctive and pose-invariant. The proposed framework is able to achieve the state-of-the-art recognition accuracy on both acted and spontaneous facial emotion databases.

How Social and Human Capital Predict Participation in Lifelong Learning: A Longitudinal Data Analysis

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Knipprath, Heidi; De Rick, Katleen

2015-01-01

Policy makers and researchers are increasingly showing interest in lifelong learning due to a rising unemployment rate in recent years. Much attention has been paid to determinants and benefits of lifelong learning but not to the impact of social capital on lifelong learning so far. In this article, we study how social and human capital can…

Megascale processes: Natural disasters and human behavior

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Kieffer, S.W.; Barton, P.; Chesworth, W.; Palmer, A.R.; Reitan, P.; Zen, E.-A.

2009-01-01

Megascale geologic processes, such as earthquakes, tsunamis, volcanic eruptions, floods, and meteoritic impacts have occurred intermittently throughout geologic time, and perhaps on several planets. Unlike other catastrophes discussed in this volume, a unique process is unfolding on Earth, one in which humans may be the driving agent of megadisasters. Although local effects on population clusters may have been catastrophic in the past, human societies have never been interconnected globally at the scale that currently exists. We review some megascale processes and their effects in the past, and compare present conditions and possible outcomes. We then propose that human behavior itself is having effects on the planet that are comparable to, or greater than, these natural disasters. Yet, unlike geologic processes, human behavior is potentially under our control. Because the effects of our behavior threaten the stability, or perhaps even existence, of a civilized society, we call for the creation of a body to institute coherent global, credible, scientifi cally based action that is sensitive to political, economic, religious, and cultural values. The goal would be to institute aggressive monitoring, identify and understand trends, predict their consequences, and suggest and evaluate alternative actions to attempt to rescue ourselves and our ecosystems from catastrophe. We provide a template modeled after several existing national and international bodies. ?? 2009 The Geological Society of America.

Blackboxing: social learning strategies and cultural evolution.

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Heyes, Cecilia

2016-05-05

Social learning strategies (SLSs) enable humans, non-human animals, and artificial agents to make adaptive decisions aboutwhenthey should copy other agents, andwhothey should copy. Behavioural ecologists and economists have discovered an impressive range of SLSs, and explored their likely impact on behavioural efficiency and reproductive fitness while using the 'phenotypic gambit'; ignoring, or remaining deliberately agnostic about, the nature and origins of the cognitive processes that implement SLSs. Here I argue that this 'blackboxing' of SLSs is no longer a viable scientific strategy. It has contributed, through the 'social learning strategies tournament', to the premature conclusion that social learning is generally better than asocial learning, and to a deep puzzle about the relationship between SLSs and cultural evolution. The puzzle can be solved by recognizing that whereas most SLSs are 'planetary'--they depend on domain-general cognitive processes--some SLSs, found only in humans, are 'cook-like'--they depend on explicit, metacognitive rules, such ascopy digital natives. These metacognitive SLSs contribute to cultural evolution by fostering the development of processes that enhance the exclusivity, specificity, and accuracy of social learning. © 2016 The Author(s).

Blackboxing: social learning strategies and cultural evolution

Science.gov (United States)

Heyes, Cecilia

2016-01-01

Social learning strategies (SLSs) enable humans, non-human animals, and artificial agents to make adaptive decisions about when they should copy other agents, and who they should copy. Behavioural ecologists and economists have discovered an impressive range of SLSs, and explored their likely impact on behavioural efficiency and reproductive fitness while using the ‘phenotypic gambit’; ignoring, or remaining deliberately agnostic about, the nature and origins of the cognitive processes that implement SLSs. Here I argue that this ‘blackboxing' of SLSs is no longer a viable scientific strategy. It has contributed, through the ‘social learning strategies tournament', to the premature conclusion that social learning is generally better than asocial learning, and to a deep puzzle about the relationship between SLSs and cultural evolution. The puzzle can be solved by recognizing that whereas most SLSs are ‘planetary'—they depend on domain-general cognitive processes—some SLSs, found only in humans, are ‘cook-like'—they depend on explicit, metacognitive rules, such as copy digital natives. These metacognitive SLSs contribute to cultural evolution by fostering the development of processes that enhance the exclusivity, specificity, and accuracy of social learning. PMID:27069046

Integrating social science into empirical models of coupled human and natural systems

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Jeffrey D. Kline; Eric M. White; A Paige Fischer; Michelle M. Steen-Adams; Susan Charnley; Christine S. Olsen; Thomas A. Spies; John D. Bailey

2017-01-01

Coupled human and natural systems (CHANS) research highlights reciprocal interactions (or feedbacks) between biophysical and socioeconomic variables to explain system dynamics and resilience. Empirical models often are used to test hypotheses and apply theory that represent human behavior. Parameterizing reciprocal interactions presents two challenges for social...

Using Ontologies for the E-learning System in Healthcare Human Resources Management

Directory of Open Access Journals (Sweden)

Lidia BAJENARU

2015-01-01

Full Text Available This paper provides a model for the use of ontology in e-learning systems for structuring educational content in the domain of healthcare human resources management (HHRM in Romania. In this respect we propose an effective method to improve the learning system by providing personalized learning paths created using ontology and advanced educational strategies to provide a personalized learning content for the medical staff. Personalization of e-learning process for the chosen target group will be achieved by setting up learning path for each user according to his profile. This will become possible using: domain ontology, learning objects, modeling student knowledge. Developing an ontology-based system for competence management allows complex interactions, providing intelligent interfacing. This is a new approach for the healthcare system managers in permanent training based on e-learning technologies and specific ontologies in a complex area that needs urgent modernization and efficiency to meet the public health economic, social and political context of Romania.

Learning in human-dolphin interactions at zoological facilities

Science.gov (United States)

Sweeney, Diane L.

This research aimed to better understand learning in zoological settings, particularly learning about marine mammals, by investigating the research question, what do people learn through interacting with dolphins in zoological facilities? Sociocultural situated learning theory, specifically a Community of Practice (CoP) model of learning (Lave & Wenger, 1991), was the theoretical framework. The CoP model allowed for diversity of knowledge, interest, motivations, and goals that existed among the community of animal enthusiasts at three commercial zoological facilities, and also for peripheral to more central types of participation. I collected data through interviews of spectators, visitors, and trainers (n=51), observations (n=16), and an online questionnaire of past-visitors (n=933). Data were coded, categorized, and analyzed based on the National Science Foundation's (Friedman, 2008) and the National Research Council's (2009) frameworks for informal science education. Five principal findings answered the research question. First, all participants gained new knowledge within three broad categories: (a) dolphin physiology and natural history, (b) care and training of dolphins, and (c) conservation. Second, all participants constructed personal meanings by connecting the activity to experiences, beliefs, and practices outside the interaction context. Almost all participants made associations with conservation. Third, most participants shifted their attitudes and gained a sense of personal agency about beginning or increasing stewardship actions. Fourth, visitors learned interspecies etiquette skills; trainers learned skills in dolphin training and management, people management, and teaching. Fifth, visitors had long-lasting memories of the experience that occurred eight months to 18 years in the past. Popular cultural ideas about dolphins and the ways the dolphins were represented influenced visitors' expectations and the types of learning. Potential physical

Digital technology and human development: A charter for nature conservation

NARCIS (Netherlands)

Maffey, G.; Homans, H.; Banks, K.; Arts, K.A.J.

2015-01-01

The application of digital technology in conservation holds much potential for advancing the understanding of, and facilitating interaction with, the natural world. In other sectors, digital technology has long been used to engage communities and share information. Human development—which holds

Significant Learning and Civic Education: Shifting Frameworks for Teaching in Light of Learning about the Financial Crisis

Directory of Open Access Journals (Sweden)

KimMarie McGoldrick

2011-10-01

Full Text Available The recent financial crisis has motivated economic educators to rethink what economics should be taught, acknowledging disconnects between classroom content and real world events. We introduce a learning theory approach that is broader, one that goes beyond such context specific discussions of foundational knowledge and application (i.e., teaching about this specific crisis and provide a framework to address the broader issue of how teaching practices can, by their very nature, minimize such disconnects and provide more effective processes for teaching about current economic conditions. The theory of significant learning (Fink 2003 is presented as a model of how experiences can be used to develop a deep approach to learning, learning that lasts. Experiential learning pedagogies are timeless in that they can be readily modified to promote deeper understanding over a wide range of economic environments. Focusing on one category of significant learning, the human dimension, and one component of the financial crisis, unemployment, examples which modify existing experiential learning practices are described to demonstrate how such pedagogic practices can be readily adapted to teaching and learning about current economic conditions. In short, we demonstrate that incorporating student experiences into pedagogic practice provides a natural alignment of teaching content and real world events, regardless of how those change over time.

Habitability and Human Factors: Lessons Learned in Long Duration Space Flight

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