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  1. Cecilia Heyes, Cognitive Gadgets: The Cultural Evolution of Thinking, Cambridge, Massachusetts: The Belknap Press of Harvard University Press, 2018, Ix + 292 Pp., $31.50/£25.95/€28.50. [REVIEW]Ivan Gonzalez-Cabrera - 2020 - History and Philosophy of the Life Sciences 42 (2):1-5.
    Heyes’ book is an essential addition to the literature on human uniqueness. Her main claim is that the key human cognitive capacities are products of cultural rather than genetic evolution. Among these distinctively human capacities are causal understanding, episodic memory, imitation, mindreading, and normative thinking. According to Heyes, they emerged not by genetic mutation but by innovations in cognitive development. She calls these mechanisms ‘cognitive gadgets.’ This is perhaps one of the best and most comprehensive views of human cognitive evolution (...)
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  2. Superstitious Beliefs and the Associative Mind.Elena Daprati, Angela Sirigu, Michel Desmurget & Daniele Nico - 2019 - Consciousness and Cognition 75:102822.
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  3. Implicit and Explicit Spatial-Numerical Representations Diverge in Number-Form Synesthetes.Elizabeth Y. Toomarian, Radhika S. Gosavi & Edward M. Hubbard - 2019 - Consciousness and Cognition 75:102806.
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  4. Ambientes de aprendizaje.Maribel Cristina Castro Florez - 2019 - Sophia 15 (2):40-54.
    Este artículo expone la conceptualización, características, investigaciones nacionales e internacionales acerca de los ambientes de aprendizaje. Para esto, se realizó una revisión bibliográfica de aproximadamente cincuenta fuentes. A partir de estas, se elaboró la conceptualización y las características que según los autores consultados deberían tener los ambientes de aprendizaje para ser efectivos en los procesos de enseñanza-aprendizaje. Asimismo, se desarrolló un panorama internacional, estructurado por continentes, de investigaciones en las que se identificaron diversos elementos de estudio; y uno nacional, divido (...)
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  5. The Wisdom of Networks: A General Adaptation and Learning Mechanism of Complex Systems.Peter Csermely - 2018 - Bioessays 40 (1):1700150.
    I hypothesize that re-occurring prior experience of complex systems mobilizes a fast response, whose attractor is encoded by their strongly connected network core. In contrast, responses to novel stimuli are often slow and require the weakly connected network periphery. Upon repeated stimulus, peripheral network nodes remodel the network core that encodes the attractor of the new response. This “core-periphery learning” theory reviews and generalizes the heretofore fragmented knowledge on attractor formation by neural networks, periphery-driven innovation, and a number of recent (...)
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  6. The Fatimids and Their Traditions of Learning.Ismail K. Poonawala & Heinz Halm - 1999 - Journal of the American Oriental Society 119 (3):542.
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  7. Carry on Learning: Learning Cyberspace. [REVIEW]Ray Scott Percival - 1995 - New Scientist (issue: 2004).
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  8. Loving, Learning and Learning to Love.William F. O'Neill - 1985 - Educational Studies 16 (2):107-116.
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  9. Content-Dependent Question Generation Using LOD for History Learning in Open Learning Space.Corentin Jouault, Kazuhisa Seta & Yuki Hayashi - forthcoming - Transactions of the Japanese Society for Artificial Intelligence.
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  10. Mediating Processes in Humans at the Outset of Discrimination Learning.Marvin Levine - 1963 - Psychological Review 70 (3):254-276.
  11. A Model of Hypothesis Behavior in Discrimination Learning Set.Marvin Levine - 1959 - Psychological Review 66 (6):353-366.
  12. Aspects of Learning.J. Peterson - 1935 - Psychological Review 42 (1):1-27.
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  13. Two-Process Learning Theory: Relationships Between Pavlovian Conditioning and Instrumental Learning.Robert A. Rescorla & Richard L. Solomon - 1967 - Psychological Review 74 (3):151-182.
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  14. The Neurophysiology of Learning and Delayed Reward Learning.Joseph Wolpe - 1952 - Psychological Review 59 (3):192-199.
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  15. The Hereditary Differential in Learning--A Reply to F. A. Pattie.T. H. Howells - 1946 - Psychological Review 53 (5):302-305.
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  16. Howells on the Hereditary Differential in Learning—a Criticism.F. A. Pattie - 1946 - Psychological Review 53 (1):53-54.
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  17. Perceptual Learning and the Technology of Expertise Studies in Fraction Learning and Algebra.Philip J. Kellman, Christine Massey, Zipora Roth, Timothy Burke, Joel Zucker, Amanda Sawa, Katherine E. Aguero & Joseph A. Wise - 2008 - Pragmatics and Cognition 16 (2):356-405.
    Learning in educational settings most often emphasizes declarative and procedural knowledge. Studies of expertise, however, point to other, equally important components of learning, especially improvements produced by experience in the extraction of information: Perceptual learning. Here we describe research that combines principles of perceptual learning with computer technology to address persistent difficulties in mathematics learning. We report three experiments in which we developed and tested perceptual learning modules to address issues of structure extraction and fluency in relation to algebra and (...)
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  18. Learning and Behavior: Sixth Edition.James E. Mazur - 2012 - Psychology Press.
    A thorough survey of the field of learning. _Learning & Behavior_ covers topics such as classical and operant conditioning, reinforcement schedules, avoidance and punishment, stimulus control, comparative cognition, observational learning, motor skill learning, and choice. The book includes thorough coverage of classic studies and the most recent developments and trends, while providing examples of real-world applications of the principles discovered in laboratory research. It also emphasizes the behavioral approach but not exclusively so; many cognitive theories are covered as well, and (...)
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  19. An Introduction to Theories of Learning: Ninth Edition.Matthew H. Olson - 2015 - Psychology Press.
    Defines learning and shows how the learning process is studied. Clearly written and user-friendly, _Introduction to the Theories of Learning_ places learning in its historical perspective and provides appreciation for the figures and theories that have shaped 100 years of learning theory research. The 9th edition has been updated with the most current research in the field. Learning Goals Upon completing this book, readers should be able to: Define learning and show how the learning process is studied Place learning theory (...)
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  20. “I'm Onto Something!” Learning About the World by Learning What I Think About It.Maria Lasonen‐Aarnio - 2015 - Analytic Philosophy 56 (4):267-297.
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  21. Learning Where to Look.Yasser F. O. Mohammad & Toyoaki Nishida - 2013 - Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 14 (3):419-450.
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  22. Stubborn Learning.Jean-François Laslier & Bernard Walliser - 2015 - Theory and Decision 79 (1):51-93.
    The paper studies a specific adaptive learning rule when each player faces a unidimensional strategy set. The rule states that a player keeps on incrementing her strategy in the same direction if her utility increased and reverses direction if it decreased. The paper concentrates on games on the square [0,1]×[0,1]\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$[0,1]\times [0,1]$$\end{document} as mixed extensions of 2×2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2\times 2$$\end{document} games. We study in general the (...)
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  23. A Novel Network Framework Using Similar-to-Different Learning Strategy.Bhanu Prakash Battula & R. Satya Prasad - 2015 - AI and Society 30 (1):129-138.
    Most of the existing classification techniques concentrate on learning the datasets as a single similar unit, in spite of so many differentiating attributes and complexities involved. However, traditional classification techniques are required to analyze the datasets prior to learning, and if not doing so, they loss their performance in terms of accuracy and AUC. To this end, many of the machine learning problems can be very easily solved just by carefully observing human learning and training nature and then mimicking the (...)
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  24. The Psychology of Learning, Tr. From 'the Economy and Technique of Learning', by J.W. Baird.Ernst F. W. Meumann & John Wallace Baird - 1913
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  25. Reflections Upon Ancient and Modern Learning.William Wotton - 1694 - Printed by J. Leake for Peter Buck.
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  26. Perspectives on Learning.D. C. Phillips & Jonas F. Soltis - 1985
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  27. Learning as a Strategic Process: Development of Hintikka’s Model.Arto Mutanen - 2010 - Problemos 77:49-59.
    In this article learning process is studied as a strategic process. In this we have as a background information Jaakko Hintikka’s interrogative model of learning which understand all reasoning as a strategic searching process in which all the relevant factors have methodologically motivated roles. A learning process takes place in space and time: learning is an active search for new knowledge. To get a better understanding the whole framework has to be schematized. Learning as an active search is object related (...)
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  28. Human Learning. [REVIEW]Stanley Pliskoff - 1985 - Journal of Mind and Behavior 6 (4).
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  29. Learning to Reflect: A Journey.Jennifer Newton - unknown
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  30. A Search for Causal Mechanisms Guides Learning in Novel Domains.Al Brown - 1986 - Bulletin of the Psychonomic Society 24 (5):334-334.
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  31. Subgoal Learning Not Aided by Studying Multiple Methods.R. Catrambone - 1991 - Bulletin of the Psychonomic Society 29 (6):504-504.
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  32. Learning Greek. [REVIEW]J. G. Randall - 1996 - The Classical Review 46 (2):301-302.
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  33. Learning the Basics.Stefan Künzell - 2000 - AISB'00 Symposium on How to Design a Functioning Mind.
    The mind's basic task is to organize adaptive behaviour. I argue that necessary conditions to achieve this are acquiring a 'body-self', a differentiated perception, motor intuition, and motor control. The latter three can be learnied implicitly by crosswise comparing the perceived actual situation, the desired situation, the perceived result and the anticipated result.
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  34. Codeswitching to Chinese or English When Learning French: Does It Help the Learning Process?Marie Cecile Leblanc - 2002 - Communication and Cognition. Monographies 35 (3-4):235-256.
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  35. The Sensitization and Differentiation of Dimensions During Category Learning.Robert L. Goldstone & Mark Steyvers - 2001 - Journal of Experimental Psychology: General 130 (1):116.
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  36. Learning About Learning at the Community College.Jim Reynolds & Thomas Morra - 2001 - Inquiry (ERIC) 6 (2):39-46.
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  37. Adventures in Learning.Kay Robertson - 2002 - Inquiry (ERIC) 7 (1):4-7.
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  38. The Dynamics of Learning and Allocation of Study Time to a Region of Proximal Learning.Janet Metcalfe & Nate Kornell - 2003 - Journal of Experimental Psychology: General 132 (4):530.
  39. A Review of “Learning for Sustainability” Senge, Peter, Jose Lauer, Sara Schley, and Bryan Smith. Cambridge, MA: The Society for Organizational Learning, Inc., 2006 (110 Pp., Paperback, ISBN10: 0-9742390-2-X). [REVIEW]Dulce M. Garcia - 2010 - World Futures 66 (7):530-533.
  40. Learning-Centered Learning: A Mindset Shift for Educators.Jim Reynolds - 2006 - Inquiry (ERIC) 11 (1):55-64.
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  41. Human Learning.D. W. Hamlyn - forthcoming - The Philosophy of Education.
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  42. The Learning of Servatus Lupus: Some Additions.Peter K. Marshall - 1979 - Mediaeval Studies 41 (1):514-523.
  43. Laughing and Learning: An Alternative to Shut Up and Listen.Peter M. Jonas - 2009 - R&L Education.
    This book explores the ways in which humor can enhance the learning environment. Drawing upon empirical research and brain-based concepts, Jonas presents a theoretical model of humor, along with practical examples for enhancing learning in schools and classrooms.
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  44. Category Learning and Concept Learning in Birds.Olga Lazareva & Edward Wasserman - 2010 - In Denis Mareschal, Paul Quinn & Stephen E. G. Lea (eds.), The Making of Human Concepts. Oxford University Press. pp. 151--172.
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  45. Rules and Similarity in Adult Concept Learning.James Close, Ulrike Hahn, Carl Hodgets & Emmanuel M. Pothos - 2010 - In Denis Mareschal, Paul Quinn & Stephen E. G. Lea (eds.), The Making of Human Concepts. Oxford University Press.
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  46. Ensemble Learning.Thomas G. Dietterichl - 2002 - In M. Arbib (ed.), The Handbook of Brain Theory and Neural Networks. MIT Press. pp. 405--408.
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  47. Models of Animal Learning and Their Relations to Human Learning.F. J. López & D. R. Shanks - 2008 - In Ron Sun (ed.), The Cambridge Handbook of Computational Psychology. Cambridge University Press. pp. 589--611.
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  48. Spatial Learning.Thomas S. Collett - 2002 - In J. Wixted & H. Pashler (eds.), Stevens' Handbook of Experimental Psychology. Wiley.
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  49. Learning Instincts.James L. Gould - 2002 - In J. Wixted & H. Pashler (eds.), Stevens' Handbook of Experimental Psychology. Wiley.
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  50. Seeing Language Learning Inside the Math: Cognitive Analysis Yields Transfer.Kenneth R. Koedinger & Elizabeth A. McLaughlin - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 471--476.
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1 — 50 / 151