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  1. Encoding without perceiving: Can memories be implanted?Jonathan Najenson - forthcoming - Philosophical Psychology.
    The origin of memories is thought to be found in sensory perception. This conception is central to how the memory sciences characterize encoding. This paper considers how novel memory traces can be formed independently of external sensory inputs. I present a case study in which memory traces are created without sensory perception using a technique I call optogenetic memory implantation. Comparing this artificial process with normal memory encoding, I consider its implications for rethinking the causal chain that leads to remembering.
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  2. Probabilistic Learning and Psychological Similarity.Nina Poth - 2023 - Entropy 25 (10).
    The notions of psychological similarity and probabilistic learning are key posits in cognitive, computational, and developmental psychology and in machine learning. However, their explanatory relationship is rarely made explicit within and across these research fields. This opinionated review critically evaluates how these notions can mutually inform each other within computational cognitive science. Using probabilistic models of concept learning as a case study, I argue that two notions of psychological similarity offer important normative constraints to guide modelers’ interpretations of representational primitives. (...)
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  3. The Parts of an Imperfect Agent.Sara Aronowitz - forthcoming - Oxford Studies in Philosophy of Mind.
    Formal representations drawn from rational choice theory have been used in a variety of ways to fruitfully model the way in which actual agents are approximately rational. This analysis requires bridging between ideal normative theory, in which the mechanisms, representations, and other such internal parts are in an important sense interchangeable, and descriptive psychological theory, in which understanding the internal workings of the agent is often the main goal of the entire inquiry. In this paper, I raise a problem brought (...)
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  4. Mental Representation and the Cognitive Architecture of Skilled Action.Thomas Schack & Cornelia Frank - 2020 - Review of Philosophy and Psychology 12 (3):527-546.
    The aim of this paper is to understand the functional role of mental representations and intentionality in skilled actions from a systems related perspective. Therefore, we will evaluate the function of representation and then discuss the cognitive architecture of skilled actions in more depth. We are going to describe the building blocks and levels of the action system that enable us to control movements such as striking the tennis ball at the right time, or grasping tools in manual action. Based (...)
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  5. Perceptual learning and the technology of expertise.Philip J. Kellman, Christine Massey, Zipora Roth, Timothy Burke, Joel Zucker, Amanda Saw, 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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  6. 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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  7. Handbook of Whiteheadian Process Thought.Michel Weber (ed.) - 2008 - De Gruyter.
  8. Superstitious beliefs and the associative mind.Elena Daprati, Angela Sirigu, Michel Desmurget & Daniele Nico - 2019 - Consciousness and Cognition 75:102822.
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  9. 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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  10. 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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  11. Symbolism: It's Meaning and Effect.A. N. Whitehead - 1927 - Revista Portuguesa de Filosofia 18 (1):97-97.
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  12. 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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  13. Carry on Learning: Learning Cyberspace. [REVIEW]Ray Scott Percival - 1995 - New Scientist (issue: 2004).
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  14. Loving, learning and learning to love.William F. O'Neill - 1985 - Educational Studies 16 (2):107-116.
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  15. Some methodological considerations in multiple-cue probability studies.Carolyn J. Hursch, Kenneth R. Hammond & Jack L. Hursch - 1964 - Psychological Review 71 (1):42-60.
  16. Mediating processes in humans at the outset of discrimination learning.Marvin Levine - 1963 - Psychological Review 70 (3):254-276.
  17. A model of hypothesis behavior in discrimination learning set.Marvin Levine - 1959 - Psychological Review 66 (6):353-366.
  18. Statistical theory of distributional phenomena in learning.W. K. Estes - 1955 - Psychological Review 62 (5):369-377.
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  19. Aspects of learning.J. Peterson - 1935 - Psychological Review 42 (1):1-27.
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  20. 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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  21. The neurophysiology of learning and delayed reward learning.Joseph Wolpe - 1952 - Psychological Review 59 (3):192-199.
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  22. 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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  23. Howells on the hereditary differential in learning—a criticism.F. A. Pattie - 1946 - Psychological Review 53 (1):53-54.
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  24. Toward a statistical theory of learning.William K. Estes - 1950 - Psychological Review 57 (2):94-107.
  25. Toward a statistical theory of learning.William K. Estes - 1994 - Psychological Review 101 (2):282-289.
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  26. 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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  27. An Introduction to Theories of Learning: Ninth Edition.Matthew H. Olson - 2012 - 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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  28. “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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  29. Learning where to look.Yasser F. O. Mohammad & Toyoaki Nishida - 2013 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 14 (3):419-450.
    Autonomous development of gaze behavior for natural human-robot interaction.
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  30. 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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  31. 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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  32. 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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  33. Process and Reality. By A. E. Murphy. [REVIEW]A. N. Whitehead - 1929 - International Journal of Ethics 40:433.
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  34. Reflections Upon Ancient and Modern Learning.William Wotton - 1694 - Printed by J. Leake for Peter Buck.
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  35. Perspectives on Learning.Denis Charles Phillips & Jonas F. Soltis - 2009 - Teachers College Press.
    Rather than simply outlining the classical and modern theories of learning, this widely adopted text brings the material to life through case studies that engage students in debates about what really happens in classrooms. Students are encouraged to test the strengths and weaknesses of each theory so that, ultimately, they will learn to formulate their own philosophies of teaching and learning. The new Fifth Edition of Perspectives on Learning features: A discussion of common sense and learning theories. A new chapter (...)
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  36. 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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  37. Human Learning. [REVIEW]Stanley Pliskoff - 1985 - Journal of Mind and Behavior 6 (4).
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  38. Learning to reflect: a journey.Jennifer Newton - unknown
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  39. 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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  40. Subgoal learning not aided by studying multiple methods.R. Catrambone - 1991 - Bulletin of the Psychonomic Society 29 (6):504-504.
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  41. Learning Greek. [REVIEW]J. G. Randall - 1996 - The Classical Review 46 (2):301-302.
  42. 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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  43. 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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  44. 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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  45. Learning about learning at the community college.Jim Reynolds & Thomas Morra - 2001 - Inquiry (ERIC) 6 (2):39-46.
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  46. Adventures in Learning.Kay Robertson - 2002 - Inquiry (ERIC) 7 (1):4-7.
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  47. 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.
  48. 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.
  49. Learning-Centered Learning: A Mindset Shift for Educators.Jim Reynolds - 2006 - Inquiry (ERIC) 11 (1):55-64.
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  50. Human learning.D. W. Hamlyn - forthcoming - The Philosophy of Education.
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1 — 50 / 201