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  1. SOAR: An architecture for general intelligence.John E. Laird, Allen Newell & Paul S. Rosenbloom - 1987 - Artificial Intelligence 33 (1):1-64.
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  • Lexicography and Conceptual Analysis.Anna Wierzbicka - 1985
    Non-Aboriginal; semantics of concrete objects in English e.g. household objects, cars and bicycles, animals, fruit and vegetables.
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  • The Study of Instinct.N. Tinbergen - 1954 - British Journal for the Philosophy of Science 5 (17):72-76.
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  • The Society Of Mind.Marvin Minsky - 1986 - Simon & Schuster.
    Computing Methodologies -- Artificial Intelligence.
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  • Intelligence without representation.Rodney A. Brooks - 1991 - Artificial Intelligence 47 (1--3):139-159.
    Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the intelligent system is decomposed into independent and parallel activity (...)
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  • Fact, Fiction, and Forecast.Nelson Goodman - 1955 - Philosophy 31 (118):268-269.
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  • Fact, Fiction, and Forecast.Nelson Goodman - 1973 - Cambridge: Harvard University Press.
    In his new foreword to this edition, Hilary Putnam forcefully rejects these nativist claims.
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  • Singular extensions.Thomas Anantharaman, Murray S. Campbell & Feng-Hsiung Hsu - 1990 - Artificial Intelligence 43 (1):99-109.
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  • Learning to coordinate behaviors.Rodney A. Brooks - unknown
    We describe an algorithm which allows a behavior-based robot to learn on the basis of positive and negative feedback when to activate its behaviors. In accordance with the philosophy of behavior-based robots, the algorithm is completely distributed: each of the behaviors independently tries to find out (i) whether it is relevant (ie. whether it is at all correlated to positive feedback) and (ii) what the conditions are under which it becomes reliable (i.e. the conditions under which i t maximizes the (...)
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  • Today the earwig, tomorrow man?David Kirsh - 1991 - Artificial Intelligence 47 (1-3):161-184.
    A startling amount of intelligent activity can be controlled without reasoning or thought. By tuning the perceptual system to task relevant properties a creature can cope with relatively sophisticated environments without concepts. There is a limit, however, to how far a creature without concepts can go. Rod Brooks, like many ecologically oriented scientists, argues that the vast majority of intelligent behaviour is concept-free. To evaluate this position I consider what special benefits accrue to concept-using creatures. Concepts are either necessary for (...)
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  • The Society of Mind.Marvin Minsky - 1987 - The Personalist Forum 3 (1):19-32.
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  • Planning in a hierarchy of abstraction spaces.Earl D. Sacerdoti - 1974 - Artificial Intelligence 5 (2):115-135.
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  • Pattern knowledge and search:The SUPREM architecture.Hans Berliner & Carl Ebeling - 1989 - Artificial Intelligence 38 (2):161-198.
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