Imitation and Modeling
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Cultural Learning Is Cultural
BEHAVIORAL AND BRAIN SCIENCES (1993) 16, 495-552 Printed in the United States of America Cultural learning Michael Tomasello Department of Psychology, Emory University, Atlanta, GA 30322 Electronic mail: [email protected] Ann Cale Kruger Department of Educational Foundations, Georgia State University, Atlanta, GA 30303 Electronic mail: [email protected] Hilary Horn Ratner Department of Psychology, Wayne State University, Detroit, Ml 48202 Abstract: This target article presents a theory of human cultural learning. Cultural learning is identified with those instances of social learning in which intersubjectivity or perspective-taking plays a vital role, both in the original learning process and in the resulting cognitive product. Cultural learning manifests itself in three forms during human ontogeny: imitative learning, instructed learning, and collaborative learning - in that order. Evidence is provided that this progression arises from the developmental ordering of the underlying social-cognitive concepts and processes involved. Imitative learning relies on a concept of intentional agent and involves simple perspective-taking. Instructed learning relies on a concept of mental agent and involves alternating/coordinated perspective- taking (intersubjectivity). Collaborative learning relies on a concept of reflective agent and involves integrated perspective-taking (reflective intersubjectivity). A comparison of normal children, autistic children and wild and enculturated chimpanzees provides further evidence for these correlations -
A Imitation Learning: a Survey of Learning Methods
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by BCU Open Access A Imitation Learning: A Survey of Learning Methods Ahmed Hussein, School of Computing Science and Digital Media, Robert Gordon University Mohamed Medhat Gaber, School of Computing and Digital Technology, Birmingham City University Eyad Elyan , School of Computing Science and Digital Media, Robert Gordon University Chrisina Jayne , School of Computing Science and Digital Media, Robert Gordon University Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by learning a mapping between observations and actions. The idea of teaching by imitation has been around for many years, however, the field is gaining attention recently due to advances in computing and sensing as well as rising demand for intelligent applications. The paradigm of learning by imitation is gaining popularity because it facilitates teaching complex tasks with minimal expert knowledge of the tasks. Generic imitation learning methods could potentially reduce the problem of teaching a task to that of providing demonstrations; without the need for explicit programming or designing reward functions specific to the task. Modern sensors are able to collect and transmit high volumes of data rapidly, and processors with high computational power allow fast processing that maps the sensory data to actions in a timely manner. This opens the door for many potential AI applications that require real-time perception and reaction such as humanoid robots, self-driving vehicles, human computer interaction and computer games to name a few. -
Mental States in Animals: Cognitive Ethology Jacques Vauclair
Mental states in animals: cognitive ethology Jacques Vauclair This artHe addresses the quegtion of mentaJ states in animak as viewed in ‘cognitive ethology”. In effect, thk field of research aims at studying naturally occurring behaviours such as food caching, individual recognition, imitation, tool use and communication in wild animals, in order to seek for evidence of mental experiences, self-aw&&reness and intentional@. Cognitive ethologists use some philosophical cencepts (e.g., the ‘intentional stance’) to carry out their programme of the investigation of natural behaviours. A comparison between cognitive ethology and other approaches to the investigation of cognitive processes in animals (e.g., experimental animal psychology) helps to point out the strengths and weaknesses of cognitive ethology. Moreover, laboratory attempts to analyse experimentally Mentional behaviours such as deception, the relationship between seeing and knowing, as well as the ability of animals to monitor their own states of knowing, suggest that cognitive ethology could benefit significantly from the conceptual frameworks and methods of animal cognitive psychology. Both disciplines could, in fact, co&ribute to the understanding of which cognitive abilities are evolutionary adaptations. T he term ‘cognirive ethology’ (CE) was comed by that it advances a purposive or Intentional interpretation Griffin in The Question ofAnimd Au~aarmess’ and later de- for activities which are a mixture of some fixed genetically veloped in other publications’ ‘_ Although Griffin‘s IS’6 transmitred elements with more hexible behaviour?. book was first a strong (and certainly salutary) reacrion (Cognitive ethologists USC conceptual frameworks against the inhibitions imposed by strict behaviourism in provided by philosophers (such as rhe ‘intentional stance’)“. -
Much Has Been Written About the Turing Test in the Last Few Years, Some of It
1 Much has been written about the Turing Test in the last few years, some of it preposterously off the mark. People typically mis-imagine the test by orders of magnitude. This essay is an antidote, a prosthesis for the imagination, showing how huge the task posed by the Turing Test is, and hence how unlikely it is that any computer will ever pass it. It does not go far enough in the imagination-enhancement department, however, and I have updated the essay with a new postscript. Can Machines Think?1 Can machines think? This has been a conundrum for philosophers for years, but in their fascination with the pure conceptual issues they have for the most part overlooked the real social importance of the answer. It is of more than academic importance that we learn to think clearly about the actual cognitive powers of computers, for they are now being introduced into a variety of sensitive social roles, where their powers will be put to the ultimate test: In a wide variety of areas, we are on the verge of making ourselves dependent upon their cognitive powers. The cost of overestimating them could be enormous. One of the principal inventors of the computer was the great 1 Originally appeared in Shafto, M., ed., How We Know (San Francisco: Harper & Row, 1985). 2 British mathematician Alan Turing. It was he who first figured out, in highly abstract terms, how to design a programmable computing device--what we not call a universal Turing machine. All programmable computers in use today are in essence Turing machines. -
Nonverbal Imitation Skills in Children with Specific Language Delay
City Research Online City, University of London Institutional Repository Citation: Dohmen, A., Chiat, S. and Roy, P. (2013). Nonverbal imitation skills in children with specific language delay. Research in Developmental Disabilities, 34(10), pp. 3288-3300. doi: 10.1016/j.ridd.2013.06.004 This is the unspecified version of the paper. This version of the publication may differ from the final published version. Permanent repository link: http://openaccess.city.ac.uk/3352/ Link to published version: http://dx.doi.org/10.1016/j.ridd.2013.06.004 Copyright and reuse: City Research Online aims to make research outputs of City, University of London available to a wider audience. Copyright and Moral Rights remain with the author(s) and/or copyright holders. URLs from City Research Online may be freely distributed and linked to. City Research Online: http://openaccess.city.ac.uk/ [email protected] Full title: Nonverbal imitation skills in children with specific language delay Name and affiliations of authors Andrea Dohmen¹˒², Shula Chiat², and Penny Roy² ¹Department of Experimental Psychology, University of Oxford, 9 South Parks Road, Oxford OX1 3UD, UK ²Language and Communication Science Division, City University London, Northampton Square EC1V 0HB London, UK Corresponding author Andrea Dohmen University of Oxford / Department of Experimental Psychology 9 South Parks Road Oxford OX1 3UD, UK Email: [email protected] Telephone: 0044/1865/271334 2 Nonverbal imitation skills in children with specific language delay Abstract Research in children with language problems has focussed on verbal deficits, and we have less understanding of children‟s deficits with nonverbal sociocognitive skills which have been proposed to be important for language acquisition. -
Deep Reinforcement Learning Via Imitation Learning
Deep Reinforcement Learning via Imitation Learning Sergey Levine perception Action (run away) action sensorimotor loop Action (run away) End-to-end vision standard features mid-level features classifier computer (e.g. HOG) (e.g. DPM) (e.g. SVM) vision Felzenszwalb ‘08 deep learning Krizhevsky ‘12 End-to-end control standard state low-level modeling & motion motor observations estimation controller robotic prediction planning torques control (e.g. vision) (e.g. PD) deep motor sensorimotor observations torques learning indirect supervision actions have consequences Contents Imitation learning Imitation without a human Research frontiers Terminology & notation 1. run away 2. ignore 3. pet Terminology & notation 1. run away 2. ignore 3. pet Terminology & notation 1. run away 2. ignore 3. pet a bit of history… управление Lev Pontryagin Richard Bellman Contents Imitation learning Imitation without a human Research frontiers Imitation Learning training supervised data learning Images: Bojarski et al. ‘16, NVIDIA Does it work? No! Does it work? Yes! Video: Bojarski et al. ‘16, NVIDIA Why did that work? Bojarski et al. ‘16, NVIDIA Can we make it work more often? cost stability Learning from a stabilizing controller (more on this later) Can we make it work more often? Can we make it work more often? DAgger: Dataset Aggregation Ross et al. ‘11 DAgger Example Ross et al. ‘11 What’s the problem? Ross et al. ‘11 Imitation learning: recap training supervised data learning • Usually (but not always) insufficient by itself – Distribution mismatch problem • Sometimes works well – Hacks (e.g. left/right images) – Samples from a stable trajectory distribution – Add more on-policy data, e.g. -
Perspectives on Observational Learning in Animals
Journal of Comparative Psychology © 2011 American Psychological Association 2012, Vol. 126, No. 2, 114–128 0735-7036/11/$12.00 DOI: 10.1037/a0025381 Perspectives on Observational Learning in Animals Thomas R. Zentall University of Kentucky Observational learning is presumed to have occurred when an organism copies an improbable action or action outcome that it has observed and the matching behavior cannot be explained by an alternative mechanism. Psychologists have been particularly interested in the form of observational learning known as imitation and in how to distinguish imitation from other processes. To successfully make this distinction, one must disentangle the degree to which behavioral similarity results from (a) predisposed behavior, (b) increased motivation resulting from the presence of another animal, (c) attention drawn to a place or object, (d) learning about the way the environment works, as distinguished from what we think of as (e) imitation (the copying of the demonstrated behavior). Several of the processes that may be involved in observational learning are reviewed, including social facilitation, stimulus enhancement, several kinds of emulation, and various forms of imitation. Keywords: imitation, observational learning, social facilitation, stimulus enhancement, emulation Several reviews of observational learning have appeared in the advantage of such learning. The other approach can be character- past 20 years, including those by Galef (1988b), Whiten and Ham ized as the psychological approach, which focuses more -
Imitation: Is Cognitive Neuroscience Solving the Correspondence Problem?
ARTICLE IN PRESS TICS 384 Review TRENDS in Cognitive Sciences Vol.xx No.xx Monthxxxx Imitation: is cognitive neuroscience solving the correspondence problem? Marcel Brass1 and Cecilia Heyes2 1Department of Cognitive Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103 Leipzig, Germany 2Department of Psychology, University College London, Gower Street, London WC1E 6BT, UK Imitation poses a unique problem: how does the imi- framework (generalist theories) or whether it depends on tator know what pattern of motor activation will make a special purpose mechanism (specialist theories). We their action look like that of the model? Specialist then review research on the role of learning in imitation theories suggest that this correspondence problem has and observation of biological motion. Finally, we discuss a unique solution; there are functional and neurological a problem for generalist theories: If imitation depends on mechanisms dedicated to controlling imitation. General- ist theories propose that the problem is solved by general mechanisms of associative learning and action control. Box 1. Mirror neurons: What do they do? What are they for? Recent research in cognitive neuroscience, stimulated Mirror neurons in the premotor area F5 of monkeys are active both by the discovery of mirror neurons, supports generalist when the animal observes and when it executes a specific action solutions. Imitation is based on the automatic activation (for a review see [52,53]. The discovery of these cells has had a revolutionary impact, turning perception–action interaction into a of motor representations by movement observation. focus of intensive, interdisciplinary research worldwide. Naturally These externally triggered motor representations are there has been a great deal of speculation about the function of then used to reproduce the observed behaviour. -
How to Use Outlines to Teach Rhetorical Prosody and Structure
VANCE SCHAEFER AND LINDA ABE United States The Art of Imitation: How to Use Outlines to Teach Rhetorical Prosody and Structure onnative speakers of a language are often at a disadvantage in producing extended speech, as they have differing native (L1) N phonological systems and rhetorical traditions or little experience in giving talks. Prosody in the form of stress, rhythm, and intonation is a difficult but crucial area needed to master extended speech because prosody interacts with structure to play a key role in conveying meaning (i.e., intelligibility) and easing understanding (i.e., comprehensibility) (see Munro and Derwing 1995 for discussion on intelligibility, comprehensibility, and pronunciation). However, second-language (L2) speakers of rhetorical prosody and structure: namely, English might not effectively produce this putting the focus on using outlines. This rhetorical prosody. For example, they may article serves as a primer for practitioners not fully utilize pitch range to signal a shift of English as a second or foreign language in topics (Wennerstrom 1998), potentially (ESL/EFL), describing how to use outlines resulting in lower comprehension levels (Munro as an effective technique to teach rhetorical and Derwing 1995; Wennerstrom 1998). prosody and structure to learners at the level This difficulty appears to arise from a lack of high school, university, and beyond. This of understanding and/or effective practice, article covers the following: as gauged from our teaching experience. While the mechanics of academic writing and 1. a simple overview of prosody and grammar are taught to L2 English learners, the structure in English, described with rhetorical elements of prosody do not appear to concrete features and rules be commonly taught. -
Learning by Imitation, Reinforcement and Verbal Rules in Problem-Solving Tasks
Dandurand, F., Bowen, M. & Shultz, T. R. (2004). Learning by imitation, reinforcement and verbal rules in problem-solving tasks. In the Proceedings of the Third International Conference on Development and Learning (ICDL'04) Developing Social Brains. La Jolla, California, USA: The Salk Institute for Biological Studies. Learning by Imitation, Reinforcement and Verbal Rules in Problem Solving Tasks Frédéric Dandurand, Melissa Bowen, Thomas R. Shultz McGill University, Department of Psychology, 1205 Dr. Penfield Ave., Montréal, Québec, H3A 1B1, Canada, [email protected], [email protected], [email protected] Abstract ponent of intelligence. “The ability to solve problems is one of the most important manifestations of human think- Learning by imitation is a powerful process for ac- ing.” [12]. quiring new knowledge, but there has been little research Information-processing theory is currently the domi- exploring imitation’s potential in the problem solving nant approach to problem solving [12]. Problems are domain. Classical problem solving techniques tend to construed in terms of states, transitions and operators. The center around reinforcement learning, which requires essence of problem solving is a search through the state significant trial-and-error learning to reach successful space for a solution state using the operators available at goals and problem solutions. Heuristics, hints, and rea- each point while satisfying a set of problem-specific con- soning by analogy have been favored as improvements straints. over reinforcement learning, whereas imitation learning has been regarded as rote memorizing. However, re- 1.1. Learning in Problem Solving Tasks search on imitation learning in animals and infants sug- gests that what is being learned is the overall arrange- Several types of learning can occur during problem ment of actions (sequencing and planning). -
Heterogeneity and Diffusion in the Digital Economy: Spain's Case
Working Paper, Nº 15/29 Madrid, November 2015 Heterogeneity and diffusion in the digital economy: Spain’s case Javier Alonso Alfonso Arellano 15/29 Working Paper November 2015 Heterogeneity and diffusion in the digital economy: Spain’s case* Javier Alonso and Alfonso Arellano. Abstract The traditional Bass model (Bass, 1969) for the adoption and diffusion of new products has customarily been used to gauge the speed at which new products were adopted in a market by estimating innovation (p) and imitation (q) parameters. Rogers (2003) proposed that certain factors influence the diffusion of such products, including the educational level and age of consumers. In this article we estimate the coefficients of innovation and imitation for adopting internet, e-commerce and online banking in Spain’s case, while controlling for heterogeneity of individuals according to educational level and age. We thus find that individuals with very different p and q coefficients can coexist in one market. We then verify that the processes of an ageing population and educational improvement in Spain could give rise to long term effects on Spain’s overall innovative and imitative capacity as a result of its socio-demographic mix. Key words: Digital economy, adoption, diffusion, consumers, Spain. JEL: O30, L81, L86. *: The authors would like to thank assistants to the Conference on Digital Experimentation CODE MIT (October 16th-17th, 2015) for their constructive and useful comments. 2 / 29 www.bbvaresearch.com Working Paper November 2015 1 Introduction The innovations that have been brought in over the last few decades within the ambit of digital media have entailed the most spectacular of changes as regards both the economy and social relations. -
Animal Culture Consequences of Sociality What Is Culture? What Is Culture? Cultural Transmission
Animal culture Consequences of sociality Animals are exposed to behavior, sometimes novel, of others Do animals display culture? What is culture? “The totality of the mental and physical reactions and activities that characterize the behavior of individuals composing a social group collectively and individually in relations to their natural environment, to other groups, to members of the group itself and of each individual to himself” - Franz Boas (1911) “An extrasomatic (nongenetic, nonbodily), temporal continuum of things and events dependent upon symboling. Culture consists of tools, implements, utensils, clothing, ornaments, customs, institutions, beliefs, rituals, games, works of art, language, etc.” - Leslie White (~1949) What is culture? Cultural transmission “Patterns, explicit and implicit, of and for behavior acquired May occur via copying… …or via direct instruction and transmitted by symbols, constituting the distinctive achievement of human groups” - Kroeber and Kluckhohn (1952) “Learned systems of meaning, communicated by means of natural language and other symbol systems, having representational, directive, and affective functions, and capable of creating cultural entities and particular senses of reality” - Roy D'Andrade (~1984) Tool use in chimpanzees “The universal human capacity to classify, codify and communicate their experiences symbolically…a defining feature of the genus Homo” - Wikipedia (2006) Culturally transmitted behavior must persist beyond life of originator 1 Cultural transmission in macaques Cultural transmission