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  1. A truth maintenance system.Jon Doyle - 1979 - Artificial Intelligence 12 (3):231-272.
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  • Semantic Considerations on nonmonotonic Logic.Robert C. Moore - 1985 - Artificial Intelligence 25 (1):75-94.
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  • Embodied cognition: A field guide.Michael L. Anderson - 2003 - Artificial Intelligence 149 (1):91-130.
    The nature of cognition is being re-considered. Instead of emphasizing formal operations on abstract symbols, the new approach foregrounds the fact that cognition is, rather, a situated activity, and suggests that thinking beings ought therefore be considered first and foremost as acting beings. The essay reviews recent work in Embodied Cognition, provides a concise guide to its principles, attitudes and goals, and identifies the physical grounding project as its central research focus.
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  • (1 other version)Telling more than we can know: Verbal reports on mental processes.Richard E. Nisbett & Timothy D. Wilson - 1977 - Psychological Review 84 (3):231-59.
    Reviews evidence which suggests that there may be little or no direct introspective access to higher order cognitive processes. Ss are sometimes unaware of the existence of a stimulus that importantly influenced a response, unaware of the existence of the response, and unaware that the stimulus has affected the response. It is proposed that when people attempt to report on their cognitive processes, that is, on the processes mediating the effects of a stimulus on a response, they do not do (...)
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  • Principles of metareasoning.Stuart Russell & Eric Wefald - 1991 - Artificial Intelligence 49 (1-3):361-395.
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  • Rationality and intelligence.Stuart J. Russell - 1997 - Artificial Intelligence 94 (1-2):57-77.
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  • Are theories of learning necessary?B. F. Skinner - 1950 - Psychological Review 57 (4):193-216.
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  • What lies beneath? Understanding the limits of understanding.Frank Keil, Leonid Rozenblit & Candice Mills - 2004 - Thinking and Seeing: Visual Metacognition in Adults and Children.
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  • (1 other version)Telling more than we can know: Verbal reports on mental processes.Richard E. Nisbett & Timothy D. Wilson - 1977 - Psychological Review; Psychological Review 84 (3):231.
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  • The roots of self-awareness.Michael L. Anderson & Donald R. Perlis - 2005 - Phenomenology and the Cognitive Sciences 4 (3):297-333.
    In this paper we provide an account of the structural underpinnings of self-awareness. We offer both an abstract, logical account.
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  • (1 other version)Some Philosophical Problems from the Standpoint of Artificial Intelligence.J. McCarthy & P. J. Hayes - 1969 - Machine Intelligence 4:463-502.
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  • Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems.Michelene T. H. Chi, Miriam Bassok, Matthew W. Lewis, Peter Reimann & Robert Glaser - 1989 - Cognitive Science 13 (2):145-182.
    The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such (...)
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  • The knowledge level.Allen Newell - 1982 - Artificial Intelligence 18 (1):81-132.
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  • Meta-rules: Reasoning about control.Randall Davis - 1980 - Artificial Intelligence 15 (3):179-222.
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  • Languages with self-reference II.Donald Perlis - 1988 - Artificial Intelligence 34 (2):179-212.
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  • Steps Toward Artificial Intelligence.Marvin Minsky - unknown
    Received by the IRE, October 24, 1960. The author's work summarized here—which was done at the MIT Lincoln Laboratory, a center for research operated by MIT at Lexington, Mass., with the joint Support of the U. S. Army, Navy, and Air Force under Air Force Contract AF 19-5200; and at the Res. Lab. of Electronics, MIT, Cambridge, Mass., which is supported in part by the U. S. Army Signal Corps, the Air Force Office of Scientific Research, and the ONR—is based (...)
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  • Languages with self-reference I: Foundations.Donald Perlis - 1985 - Artificial Intelligence 25 (3):301-322.
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  • Computer Go: An AI oriented survey.Bruno Bouzy & Tristan Cazenave - 2001 - Artificial Intelligence 132 (1):39-103.
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  • Thinking too much: Introspection can reduce the quality of preferences and decisions.Timothy D. Wilson & Jonathan W. Schooler - 1991 - Journal of Personality and Social Psychology 60 (2):181-192.
    In Study 1, 49 college students' preferences for different brands of strawberry jams were compared with experts' ratings of the jams. Students who analyzed why they felt the way they did agreed less with the experts than students who did not. In Study 2, 243 college students' preferences for college courses were compared with expert opinion. Some students were asked to analyze reasons; others were asked to evaluate all attributes of all courses. Both kinds of introspection caused people to make (...)
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  • Monitoring and control of anytime algorithms: A dynamic programming approach.Eric A. Hansen & Shlomo Zilberstein - 2001 - Artificial Intelligence 126 (1-2):139-157.
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  • Optimal composition of real-time systems.Shlomo Zilberstein & Stuart Russell - 1996 - Artificial Intelligence 82 (1-2):181-213.
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  • How circuits work.Johan De Kleer - 1984 - Artificial Intelligence 24 (1-3):205-280.
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  • Explaining and repairing plans that fail.Kristian J. Hammond - 1990 - Artificial Intelligence 45 (1-2):173-228.
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  • Computational tradeoffs under bounded resources.Eric Horvitz & Shlomo Zilberstein - 2001 - Artificial Intelligence 126 (1-2):1-4.
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  • Using constraint metaknowledge to reduce arc consistency computation.Christian Bessiére, Eugene C. Freuder & Jean-Charles Regin - 1999 - Artificial Intelligence 107 (1):125-148.
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  • Embedding decision-analytic control in a learning architecture.Oren Etzioni - 1991 - Artificial Intelligence 49 (1-3):129-159.
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  • Interactive transfer of expertise: Acquisition of new inference rules.Randall Davis - 1979 - Artificial Intelligence 12 (2):121-157.
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  • Introspective multistrategy learning: On the construction of learning strategies.Michael T. Cox & Ashwin Ram - 1999 - Artificial Intelligence 112 (1-2):1-55.
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  • Model construction operators.William J. Clancey - 1992 - Artificial Intelligence 53 (1):1-115.
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