Notebooks

Cognitive science

16 Feb 2018 19:43

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

  • Bela Julesz, Dialogues on Perception
  • Annette Karmiloff-Smith, Beyond Modularity: A Developmental Perspective on Cognitive Science
  • Frank C. Keil and Robert A. Wilson (eds.), Explanation and Cognition
  • 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
  • Albert Newen, Andreas Bartels, and Eva-Maria Jung (eds.), Knowledge and Representation
  • Mary C. Olmstead and Valerie A. Kuhlmeier, Comparative Cognition
  • 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
  • Jan L. Plass, Roxana Moreno and Roland Brünken (eds.), Cognitive Load Theory
  • 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
  • Atsushi Shimojima, Semantic Properties of Diagrams and Their Cognitive Potentials
  • 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
  • Catherine E. Stinson, Cognitive Mechanisms and Computational Models: Explanation in Cognitive Neuroscience [Ph.D. Thesis, Philosophy Dept., University of Pittsburgh, 2013; thanks to Dr. Stinson for a copy]
  • Peter Stockwell, Cognitive Poetics: An Introduction
  • Paul Thagard
  • Kurt VanLehn, Mind Bugs: The Origins of Procedural Misconceptions
  • Jonathan A. Waskan
  • Philip David Zelazo, "The development of conscious control in childhood", Trends in Cognitive Sciences 8 (2004): 12--17


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