57 found
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  1.  55
    How Can the Human Mind Occur in the Physical Universe?R. Anderson John - 2007 - Oup Usa.
    The human cognitive architecture consists of a set of largely independent modules associated with different brain regions. This book discusses in detail how these various modules can combine to produce behaviours as varied as driving a car and solving an algebraic equation.
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  2. Is Human Cognition Adaptive?John R. Anderson - 1991 - Behavioral and Brain Sciences 14 (3):471-485.
  3. An Integrated Theory of the Mind.John R. Anderson, Daniel Bothell, Michael D. Byrne, Scott Douglass, Christian Lebiere & Yulin Qin - 2004 - Psychological Review 111 (4):1036-1060.
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  4.  9
    Human Symbol Manipulation Within an Integrated Cognitive Architecture.John R. Anderson - 2005 - Cognitive Science 29 (3):313-341.
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  5.  65
    Arguments Concerning Representations for Mental Imagery.John R. Anderson - 1978 - Psychological Review (4):249-277.
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  6.  2
    Why Do Children Learn to Say “Broke”? A Model of Learning the Past Tense Without Feedback.Niels A. Taatgen & John R. Anderson - 2002 - Cognition 86 (2):123-155.
  7.  3
    The Discovery of Processing Stages: Extension of Sternberg’s Method.John R. Anderson, Qiong Zhang, Jelmer P. Borst & Matthew M. Walsh - forthcoming - Psychological Review.
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  8.  8
    Methodologies for Studying Human Knowledge.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):467.
  9.  35
    A Central Circuit of the Mind.John R. Anderson, Jon M. Fincham, Yulin Qin & Andrea Stocco - 2008 - Trends in Cognitive Sciences 12 (4):136-143.
  10.  2
    The Adaptive Nature of Human Categorization.John R. Anderson - 1991 - Psychological Review 98 (3):409-429.
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  11.  12
    The Fan Effect: New Results and New Theories.John R. Anderson & Lynne M. Reder - 1999 - Journal of Experimental Psychology: General 128 (2):186.
  12.  18
    Discovering the Sequential Structure of Thought.John R. Anderson & Jon M. Fincham - 2014 - Cognitive Science 38 (2):322-352.
    Multi-voxel pattern recognition techniques combined with Hidden Markov models can be used to discover the mental states that people go through in performing a task. The combined method identifies both the mental states and how their durations vary with experimental conditions. We apply this method to a task where participants solve novel mathematical problems. We identify four states in the solution of these problems: Encoding, Planning, Solving, and Respond. The method allows us to interpret what participants are doing on individual (...)
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  13.  48
    The Newell Test for a Theory of Cognition.John R. Anderson & Christian Lebiere - 2003 - Behavioral and Brain Sciences 26 (5):587-601.
    Newell proposed that cognitive theories be developed in an effort to satisfy multiple criteria and to avoid theoretical myopia. He provided two overlapping lists of 13 criteria that the human cognitive architecture would have to satisfy in order to be functional. We have distilled these into 12 criteria: flexible behavior, real-time performance, adaptive behavior, vast knowledge base, dynamic behavior, knowledge integration, natural language, learning, development, evolution, and brain realization. There would be greater theoretical progress if we evaluated theories by a (...)
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  14.  9
    A Semantic Interpretation of Encoding Specificity.Lynne M. Reder, John R. Anderson & Robert A. Bjork - 1974 - Journal of Experimental Psychology 102 (4):648-656.
  15.  3
    Spanning Seven Orders of Magnitude: A Challenge for Cognitive Modeling.John R. Anderson - 2002 - Cognitive Science 26 (1):85-112.
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  16.  1
    Conditional Routing of Information to the Cortex: A Model of the Basal Ganglia’s Role in Cognitive Coordination.Andrea Stocco, Christian Lebiere & John R. Anderson - 2010 - Psychological Review 117 (2):541-574.
  17.  59
    The Past, Present, and Future of Cognitive Architectures.Niels Taatgen & John R. Anderson - 2010 - Topics in Cognitive Science 2 (4):693-704.
    Cognitive architectures are theories of cognition that try to capture the essential representations and mechanisms that underlie cognition. Research in cognitive architectures has gradually moved from a focus on the functional capabilities of architectures to the ability to model the details of human behavior, and, more recently, brain activity. Although there are many different architectures, they share many identical or similar mechanisms, permitting possible future convergence. In judging the quality of a particular cognitive model, it is pertinent to not just (...)
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  18.  6
    Acquisition of Cognitive Skill.John R. Anderson - 1982 - Psychological Review 89 (4):369-406.
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  19.  5
    Interpretation‐Based Processing: A Unified Theory of Semantic Sentence Comprehension.Raluca Budiu & John R. Anderson - 2004 - Cognitive Science 28 (1):1-44.
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  20.  2
    A Production System Theory of Serial Memory.John R. Anderson & Michael Matessa - 1997 - Psychological Review 104 (4):728-748.
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  21.  11
    Task Preparation and Task Repetition: Two-Component Model of Task Switching.Myeong-Ho Sohn & John R. Anderson - 2001 - Journal of Experimental Psychology: General 130 (4):764.
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  22.  3
    Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry.Kenneth R. Koedinger & John R. Anderson - 1990 - Cognitive Science 14 (4):511-550.
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  23.  1
    Human Memory: An Adaptive Perspective.John R. Anderson & Robert Milson - 1989 - Psychological Review 96 (4):703-719.
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  24.  9
    Practice and Forgetting Effects on Vocabulary Memory: An Activation‐Based Model of the Spacing Effect.Philip I. Pavlik & John R. Anderson - 2005 - Cognitive Science 29 (4):559-586.
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  25.  3
    Integrating Analogical Mapping and General Problem Solving: The Path‐Mapping Theory.Dario D. Salvucci & John R. Anderson - 2001 - Cognitive Science 25 (1):67-110.
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  26.  3
    Learning to Program in LISP1.John R. Anderson, Robert Farrell & Ron Sauers - 1984 - Cognitive Science 8 (2):87-129.
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  27.  9
    Thinking as a Production System.Marsha C. Lovett & John R. Anderson - 2005 - In K. Holyoak & B. Morrison (eds.), The Cambridge Handbook of Thinking and Reasoning. Cambridge University Press. pp. 401--429.
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  28.  7
    Induction of Augmented Transition Networks.John R. Anderson - 1977 - Cognitive Science 1 (2):125-157.
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  29. Serial Modules in Parallel: The Psychological Refractory Period and Perfect Time-Sharing.Michael D. Byrne & John R. Anderson - 2001 - Psychological Review 108 (4):847-869.
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  30.  7
    Skill Acquisition and the LISP Tutor.John R. Anderson, Frederick G. Conrad & Albert T. Corbett - 1989 - Cognitive Science 13 (4):467-505.
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  31.  72
    The Development of Self-Recognition: A Review.John R. Anderson - 1984 - Developmental Psychobiology 17:35-49.
  32.  38
    ACT-R: A Higher-Level Account of Processing Capacity.John R. Anderson, Christian Lebiere, Marsha Lovett & Lynne Reder - 1998 - Behavioral and Brain Sciences 21 (6):831-832.
    We present an account of processing capacity in the ACT-R theory. At the symbolic level, the number of chunks in the current goal provides a measure of relational complexity. At the subsymbolic level, limits on spreading activation, measured by the attentional parameter W, provide a theory of processing capacity, which has been applied to performance, learning, and individual differences data.
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  33. Skill Acquisition: Compilation of Weak-Method Problem Situations.John R. Anderson - 1987 - Psychological Review 94 (2):192-210.
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  34. The Dynamics of Scaling: A Memory-Based Anchor Model of Category Rating and Absolute Identification.Alexander A. Petrov & John R. Anderson - 2005 - Psychological Review 112 (2):383-416.
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  35.  3
    The Generality/Specificity of Expertise in Scientific Reasoning.Christian D. Schunn & John R. Anderson - 1999 - Cognitive Science 23 (3):337-370.
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  36.  1
    Recognition and Retrieval Processes in Free Recall.John R. Anderson & Gordon H. Bower - 1972 - Psychological Review 79 (2):97-123.
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  37. Dual Learning Processes in Interactive Skill Acquisition.Wai-Tat Fu & John R. Anderson - 2008 - Journal of Experimental Psychology: Applied 14 (2):179-191.
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  38. Using a Model to Compute the Optimal Schedule of Practice.Philip I. Pavlik & John R. Anderson - 2008 - Journal of Experimental Psychology: Applied 14 (2):101-117.
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  39. The Acquisition of Robust and Flexible Cognitive Skills.Niels A. Taatgen, David Huss, Daniel Dickison & John R. Anderson - 2008 - Journal of Experimental Psychology: General 137 (3):548-565.
  40.  5
    Journal of The Cognitive Science Society.Robert L. Goldstone, John R. Anderson, Nick Chater, Andy Clark, Shimon Edelman, Kenneth Forbus, Dedre Gentner, Raymond W. Gibbs Jr, James Greeno & Robert A. Jacobs - 2004 - Cognitive Science 28 (3).
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  41.  10
    Error Modeling in the ACT-R Production System.Christian Lebière, John R. Anderson & Lynne M. Reder - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. pp. 555--559.
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  42. From Recurrent Choice to Skill Learning: A Reinforcement-Learning Model.Wai-Tat Fu & John R. Anderson - 2006 - Journal of Experimental Psychology: General 135 (2):184-206.
  43.  3
    Further Arguments Concerning Representations for Mental Imagery: A Response to Hayes-Roth and Pylyshyn.John R. Anderson - 1979 - Psychological Review 86 (4):395-406.
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  44.  4
    Learning Problem‐Solving Rules as Search Through a Hypothesis Space.Hee Seung Lee, Shawn Betts & John R. Anderson - 2016 - Cognitive Science 40 (5):1036-1079.
    Learning to solve a class of problems can be characterized as a search through a space of hypotheses about the rules for solving these problems. A series of four experiments studied how different learning conditions affected the search among hypotheses about the solution rule for a simple computational problem. Experiment 1 showed that a problem property such as computational difficulty of the rules biased the search process and so affected learning. Experiment 2 examined the impact of examples as instructional tools (...)
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  45.  11
    A Model of Language Processing and Spatial Reasoning Using Skill Acquisition to Situate Action.Scott A. Douglass & John R. Anderson - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 2281--2286.
  46.  7
    Category Learning: Things Aren't so Black and White.John R. Anderson - 1986 - Behavioral and Brain Sciences 9 (4):651.
  47.  10
    Representation Without Process?John R. Anderson - 1983 - Behavioral and Brain Sciences 6 (1):137.
  48.  6
    Implementations, Algorithms, and More.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):498.
  49.  7
    Marshall M. Weinberg Conference: The Future of Cognitive Science - Thursday Afternoon (Oct. 16, 2008) Session: John R. Anderson and Alison Gopnik. [REVIEW]John R. Anderson & Alison Gopnik - unknown
    Six leading experts speak about the future of cognitive science.
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  50.  3
    Short- and Long-Term Memory Retrieval: A Comparison of the Effects of Information Load and Relatedness.William P. Jones & John R. Anderson - 1987 - Journal of Experimental Psychology: General 116 (2):137-153.
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