Cognitive science

01 Apr 2013 16:32

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Not to be confused with any of the following, unless it is in the end identical to one or more of them: Analogy and Metaphor; Artificial Intelligence; Noam Chomsky; Collective Cognition; Emotion; Evolutionary Psychology; Linguistics Machine Learning, Statistical Inference and Induction; Neural Nets and Connectionism; Neuropsychology; Neuroscience; Philosophy of Mind; "Pre-Cognitivism"; Scientific Thinking; Herbert Simon; Social Neuroscience; Thought and Society; L. S. Vygotsky

Recommended, big picture:
• Denise D. Cummins, The Other Side of Psychology: How Experimental Psychologists Find Out About the Way We Think and Act [Of course, cognitive science is more than just cognitive psychology, and experimental psychology is more than just cognitive psychology.]
• Philip N. Johnson-Laird, The Computer and the Mind
• Justin Leiber, Invitation to Cognitive Science
• Gary F. Marcus, The Algebraic Mind: Integrating Connectionism and Cognitive Science
• Donald Norman, The Psychology of Everyday Things [Review: Fools Are so Ingenious]
• Stephen Pinker
  • The Language Instinct [or, Chomsky Without Tears]
  • How the Mind Works [Review: Seeing the Computational Forest for the Cultural Trees]
• Sara J. Shettleworth, Cognition, Evolution, and Behavior
• Herbert Simon, The Sciences of the Artificial [and many, many other works]

Recommended, close-ups:
• Noam Chomsky, "A Review of B. F. Skinner's Verbal Behavior," Language 35 (1959): 26--58 [online]
• Kenneth Craik, The Nature of Explanation
• Stanislas Dehane, The Number Sense
• Daniel Dennett writes, among other things, extensively about the philosophical implications of cognitive science, in the process explaining a lot of it, and defending the general approach of orthodox cognitivists.
• Reuven Dukas (ed.), Cognitive Ecology: The Evolutionary Ecology of Information Processing and Decision Making
• Frederick Eberhardt and David Danks, "Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models", Minds and Machines 21 (2011): 389--410, phil-sci/8778 [Comments]
• K. Anders Ericsson, Ralf Th. Krampe and Clemens Tesch-Romer, "The Role of Deliberate Practice in the Acquisition of Expert Performance", Psychological Review 100 (1993): 363--406
• Marcello Frixione, "Tractable Competence", Minds and Machines 11 (2001): 379--397 [Cognitive systems do not, in fact, routinely solve intractable problems, so theories which postulate that they do are bad. Calling them "competence" theories is no excuse.]
• Ronald N. Giere, Explaining Science: A Cognitive Approach
• Edwin Hutchins, Cognition in the Wild [Actually, I have mixed feelings about the book, but I am, if I may say so, very fond of my review of it: Naval Collective Intelligence.]
• Ray Jackendoff, Foundations of Language: Brain, Meaning, Grammar, Evolution [Review by Andrew Carstairs-McCarthy in American Scientist; my review: The Object-Oriented Turn in Generative Grammar]
• A. R. Luria, Cognitive Development: Its Cultural and Social Foundations [Comments]
• Miller, Galanter and Pribam, Plans and the Structure of Behavior
• Heinz Pagels, The Dreams of Reason [especially the chapters "Waiting for the Messiah" and "The Man Who Mistook His Brain for His Mind."]
• Dan Sperber and Deirdre Wilson, Relevance: Cognition and Communication
• Alonso H. Vera and Herbert A. Simon, "Situated Action: A Symbolic Interpretation," Cognitive Science 17 (1993): 7--48
• Rhiannon Weaver, "Parameters, Predictions, and Evidence in Computational Modeling: A Statistical View Informed by ACT-R", Cognitive Science 32 (2008): 1349--1375 [A really great paper on using modern statistical methods to connect sophisticated cognitive models to data. I am very proud that Weaver is from the CMU stats. department, though she's not my student.]
• Wilson and Keil (eds.), The MIT Encyclopedia of the Cognitive Sciences
• Xiaojin Zhu, Timothy T. Rogers and Bryan R. Gibson, "Human Rademacher Complexity", in Advances in Neural Information Processing, vol. 22 (NIPS 2009) [PDF reprint]

To read:
• John R. Anderson, Mark V. Albert and Jon M. Fincham, "Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi", Journal of Cognitive Neuroscience 17 (2005): 1261 - 1274
• H. Clark Barrett, "On the functional origins of essentialism" [online]
• H. Clark Barrett and Tanya Behne, "Understanding death as the cessation of intentional action: A cross-cultural developmental study" [online]
• William Bechtel, Mental Mechanisms: Philosophical Perspectives on Cognitive Neuroscience
• Margaret Boden, Mind as Machine: A History of Cognitive Science
• Susan Carey, [The Origin of Concepts
• Karen A. Cerulo, Deciphering Violence: The Cognitive Structure of Right and Wrong
• Sun-Ki Chai, Choosing an Identity: A General Model of Preference and Belief Formation
• Clancy, Situated Cognition
• Axel Cleeremans, Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing
• Beth Crandall, Gary Klein and Robert R. Hoffman, Working Minds: A Practitioner's Guide to Cognitive Task Analysis
• Roy D'Andrade, The Development of Cognitive Anthropology
• David Danks, "Rational Analyses, Instrumentalism, and Implementations", in Chater and Oaksford (eds.) The Probabilistic Mind: Prospects for Rational Models of Cognition [PDF preprint]
• Judy S. DeLoache, "Becoming symbol-minded", Trends in Cognitive Sciences 8 (2004): 66--70
• Merlin Donald, Origins of the Modern Mind: Three Stages in the Evolution of Cognition and Culture [Precis as a BBS target article]
• Jean-Pierre Dupuy, The Mechanization of the Mind
• Kieran Egan, The Educated Mind: How Cognitive Tools Shape Our Understanding
• W. K. Estes, Classification and Cognition
• Jeff Evans, Adults' Mathematical Thinking and Emotions: A Study of Numerate Practices
• Jonathan St. B. T. Evans, "In two minds: dual-process accounts of reasoning", Trends in Cognitive Sciences 7 (2003): 454--459. Brought to my notice by reading an interesting comment by Frederick Toates, TiCS 8 (2004): 57 (link), pointing out that much of what Evans believes to be uniquely human has parallels in other animals, suggesting that the dual-systems design has older evolutionary roots.]
• Klaus Fiedler and Peter Juslin (eds.), Information Sampling and Adaptive Cognition
• Gardener, The Mind's New Science [History]
• Peter Gärdenfors, Conceptual Spaces: The Geometry of Thought
• Michael S. Gazzaniga, The Mind's Past
• Janice Glasgow, N. Hari Narayanan and B. Chandrasekaran (eds.), Diagrammatic Reasoning: Cognitive and Computational Perspectives [Foreword by Herbert Simon]
• Vinod Goel, Sketches of Thought
• Alison Gopnik and Andrew N. Meltzoff, Words, Thoughts, and Theories
• R. L. Gregory, Mind in Science
• Griffin, Animal Minds
• Jeff Hawkins and Sandra Blakeslee, On Intelligence
• Ray Jackendoff
  • Consciousness and the Computational Mind
  • Languages of the Mind: Essays on Mental Representation
  • Patterns in the Mind
• Philip N. Johnson-Laird
  • How We Reason
  • Human and Machine Thinking
  • Mental Models
  • "Deductive Reasoning," Annual Review of Psychology 50 (1999): 109--35
• Bela Julesz, Dialogues on Perception
• Annette Karmiloff-Smith, Beyond Modularity: A Developmental Perspective on Cognitive Science
• Charles M. Keller and Janet Dixon Keller, Cognition and Tool Use: The Blacksmith at Work
• Simon Kemp, Cognitive Psychology in the Middle Ages
• Franco Landriscina, Simulation and Learning: A Model-Centered Approach
• Jean Lave, Cognition in Practice: Mind, Mathematics and Culture in Everyday Life
• Margolis and Laurence (eds.), Concepts
• Arthur B. Markman, Knowledge Representation
• David McNeill, Hand and Mind: What Gestures Reveal about Thought
• Gregory L. Murphy, The Big Book of Concepts
• Nancy Nersessian, Creating Scientific Concepts
• Rolf Pfeifer and Josh C. Bongard, How the Body Shapes the Way We Think: A New View of Intelligence
• Rolf Pfeifer and Christian Scheier, Understanding Intelligence
• Steven Phillips, "Systematic Minds, Unsystematic Models: Learning Transfer in Humans and Networks", Minds and Machines 9 (1999): 383--398
• Thad A. Polk and Colleen M. Seifert (eds.), Cognitive Modeling
• John Pollock, Cognitive Carpentry
• Zenon W. Pylyshyn, Computation and Cognition: Toward a Foundation for Cognitive Science
• Daniel Povinelli, Folk Physics for Apes: The Chimpanzee's Theory of How the World Works
• Frederick Reif, Applying Cognitive Science to Education: Thinking and Learning in Scientific and Other Complex Domains
• Zhanna Reznikova, Animal Intelligence: From Individual to Social Cognition
• Don Ross, Economic Theory and Cognitive Science: Microexplanation
• Timo J. Septer, Jacob Dijkstra and Frans N. Stokman, "Detecting and measuring crucial differences between cognitive maps", Rationality and Society 24 (2012): 383--407
• Reza Shadmehr and Sandro Mussa-Ivaldi, Biological Learning and Control: How the Brain Builds Representations, Predicts Events, and Makes Decisions
• Robert W. Shumaker, Kristina R. Walkup, and Benjamin B. Beck, Animal Tool Behavior: The Use and Manufacture of Tools by Animals
• M. Sigman, G. A. Cecchi, C. D. Gilbert and M. O. Magnasco, "On a common circle: natural scenes and Gestalt rules," cond-mat/0105097
• Speaking Minds [Interviews with cognitivists]
• Dan Sperber (ed.), Metarepresentations
• Keith Stenning and Michiel van Lambalgen, Human Reasoning and Cognitive Science
• Peter Stockwell, Cognitive Poetics: An Introduction
• Paul Thagard
  • Mind: Introduction to Cognitive Science
  • Coherence in Thought and Action
  • Hot Thought: Mechanisms and Applications of Emotional Cognition
• Kurt VanLehn, Mind Bugs: The Origins of Procedural Misconceptions
• Jonathan A. Waskan
  • "Intrinsic Cognitive Models," Cognitive Science 27 (2003): 259--283
  • Models and Cognition [this sound an awful lot like Kenneth Craik's classic, The Nature of Explanation — not that that's a bad thing.]
• Philip David Zelazo, "The development of conscious control in childhood", Trends in Cognitive Sciences 8 (2004): 12--17