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  1. John R. Anderson & Jon M. Fincham (2014). Discovering the Sequential Structure of Thought. 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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  2. Christian Lebiere & John R. Anderson (2011). Cognitive Constraints on Decision Making Under Uncertainty. Frontiers in Psychology 2.
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  3. Niels Taatgen & John R. Anderson (2010). The Past, Present, and Future of Cognitive Architectures. 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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  4. John R. Anderson, Cameron S. Carter, Jon M. Fincham, Yulin Qin, Susan M. Ravizza & Miriam Rosenberg‐Lee (2008). Using fMRI to Test Models of Complex Cognition. Cognitive Science 32 (8):1323-1348.
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  5. John R. Anderson, Jon M. Fincham, Yulin Qin & Andrea Stocco (2008). A Central Circuit of the Mind. Trends in Cognitive Sciences 12 (4):136-143.
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  6. John R. Anderson & Alison Gopnik, Marshall M. Weinberg Conference: The Future of Cognitive Science - Thursday Afternoon (Oct. 16, 2008) Session: John R. Anderson and Alison Gopnik. [REVIEW]
    Six leading experts speak about the future of cognitive science.
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  7. Scott A. Douglass & John R. Anderson (2008). A Model of Language Processing and Spatial Reasoning Using Skill Acquisition to Situate Action. In. In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. 2281--2286.
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  8. John R. Anderson (2007). How Can the Human Mind Occur in the Physical Universe? OUP USA.
    "The question for me is how can the human mind occur in the physical universe? We now know that the world is governed by physics. We now understand the way biology nestles comfortably within that. The issue is how will the mind do that as well?" Alan Newell, 4 December 1991, Carnegie Mellon University -/- The argument John Anderson gives in this book was inspired by the passage above, from the last lecture by one of the pioneers of cognitive science. (...)
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  9. John R. Anderson (2005). Human Symbol Manipulation Within an Integrated Cognitive Architecture. Cognitive Science 29 (3):313-341.
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  10. Marsha C. Lovett & John R. Anderson (2005). Thinking as a Production System. In K. Holyoak & B. Morrison (eds.), The Cambridge Handbook of Thinking and Reasoning. Cambridge Univ Pr. 401--429.
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  11. Philip I. Pavlik & John R. Anderson (2005). Practice and Forgetting Effects on Vocabulary Memory: An Activation‐Based Model of the Spacing Effect. Cognitive Science 29 (4):559-586.
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  12. Raluca Budiu & John R. Anderson (2004). Interpretation‐Based Processing: A Unified Theory of Semantic Sentence Comprehension. Cognitive Science 28 (1):1-44.
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  13. 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). Journal of The Cognitive Science Society. Cognitive Science 28 (3).
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  14. John R. Anderson & Christian Lebiere (2003). Optimism for the Future of Unified Theories. Behavioral and Brain Sciences 26 (5):628-633.
    The commentaries on our article encourage us to believe that researchers are beginning to take seriously the goal of achieving the broad adequacy that Newell aspired to. The commentators offer useful elaborations to the criteria we suggested for the Newell Test. We agree with many of the commentators that classical connectionism is too restrictive to achieve this broad adequacy, and that other connectionist approaches are not so limited and can deal with the symbolic components of thought. All these approaches, including (...)
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  15. John R. Anderson & Christian Lebiere (2003). The Newell Test for a Theory of Cognition. Behavioral and Brain Sciences 26 (5):587-601.
    Newell (1980; 1990) 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 (...)
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  16. John R. Anderson (2002). Spanning Seven Orders of Magnitude: A Challenge for Cognitive Modeling. Cognitive Science 26 (1):85-112.
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  17. John R. Anderson, Deb K. Roy, Alex P. Pentland, Vincent Awmm Aleven, Kenneth R. Koedinger, Yafen Lo, Ashley Sides, Joseph Rozelle, Daniel Osherson & Bruno Laeng (2002). Regular Articles Perceiving Temporal Regularity in Music* 1 Edward W. Large, Caroline Palmer Memory for Goals: An Activation-Based Model* 39 Erik M. Altmann, J. Gregory Trafton. [REVIEW] Cognitive Science 26 (837):839.
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  18. Niels A. Taatgen & John R. Anderson (2002). Why Do Children Learn to Say “Broke”? A Model of Learning the Past Tense Without Feedback. Cognition 86 (2):123-155.
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  19. Dario D. Salvucci & John R. Anderson (2001). Integrating Analogical Mapping and General Problem Solving: The Path‐Mapping Theory. Cognitive Science 25 (1):67-110.
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  20. Myeong-Ho Sohn & John R. Anderson (2001). Task Preparation and Task Repetition: Two-Component Model of Task Switching. Journal of Experimental Psychology: General 130 (4):764.
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  21. John R. Anderson & Lynne M. Reder (1999). The Fan Effect: New Results and New Theories. Journal of Experimental Psychology: General 128 (2):186.
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  22. Christian D. Schunn & John R. Anderson (1999). The Generality/Specificity of Expertise in Scientific Reasoning. Cognitive Science 23 (3):337-370.
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  23. John R. Anderson, Christian Lebiere, Marsha Lovett & Lynne Reder (1998). ACT-R: A Higher-Level Account of Processing Capacity. 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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  24. Albert T. Corbett, John R. Anderson, Valerie H. Carver & Scott A. Brancolini (1994). Individual Differences and Predictive Validity in Student Modeling. In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. 213.
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  25. Christian Lebière, John R. Anderson & Lynne M. Reder (1994). Error Modeling in the ACT-R Production System. In. In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. 555--559.
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  26. John R. Anderson (1991). Is Human Cognition Adaptive? Behavioral and Brain Sciences 14 (3):471-485.
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  27. John R. Anderson (1991). More on Rational Analysis. Behavioral and Brain Sciences 14 (3):508-517.
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  28. John R. Anderson (1991). Optimality and Human Memory. Behavioral and Brain Sciences 14 (2):215-216.
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  29. Kenneth R. Koedinger & John R. Anderson (1990). Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry. Cognitive Science 14 (4):511-550.
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  30. John R. Anderson, Frederick G. Conrad & Albert T. Corbett (1989). Skill Acquisition and the LISP Tutor. Cognitive Science 13 (4):467-505.
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  31. John R. Anderson (1987). Implementations, Algorithms, and More. Behavioral and Brain Sciences 10 (3):498.
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  32. John R. Anderson (1987). Methodologies for Studying Human Knowledge. Behavioral and Brain Sciences 10 (3):467.
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  33. John R. Anderson (1986). Category Learning: Things Aren't so Black and White. Behavioral and Brain Sciences 9 (4):651.
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  34. John R. Anderson (1984). The Development of Self-Recognition: A Review. Developmental Psychobiology 17:35-49.
  35. John R. Anderson, Robert Farrell & Ron Sauers (1984). Learning to Program in LISP1. Cognitive Science 8 (2):87-129.
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  36. John R. Anderson (1983). Representation Without Process? Behavioral and Brain Sciences 6 (1):137.
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  37. John R. Anderson (1980). On the Merits of ACT and Information-Processing Psychology: A Response to Wexler's Review. Cognition 8 (1):73-88.
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  38. John R. Anderson (1978). Arguments Concerning Representations for Mental Imagery. Psychological Review.
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  39. John R. Anderson (1977). Induction of Augmented Transition Networks. Cognitive Science 1 (2):125-157.
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  40. Lynne M. Reder, John R. Anderson & Robert A. Bjork (1974). A Semantic Interpretation of Encoding Specificity. Journal of Experimental Psychology 102 (4):648-656.
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