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  1. 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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  • On the thresholds of knowledge.Douglas B. Lenat & Edward A. Feigenbaum - 1991 - Artificial Intelligence 47 (1-3):185-250.
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  • EPAMā€like Models of Recognition and Learning.Edward A. Feigenbaum & Herbert A. Simon - 1984 - Cognitive Science 8 (4):305-336.
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  • DENDRAL: A case study of the first expert system for scientific hypothesis formation.Robert K. Lindsay, Bruce G. Buchanan, Edward A. Feigenbaum & Joshua Lederberg - 1993 - Artificial Intelligence 61 (2):209-261.
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  • Generalization learning techniques for automating the learning of heuristics.D. A. Waterman - 1970 - Artificial Intelligence 1 (1-2):121-170.
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  • Optimal problem-solving search: All-or-none solutions.Herbert A. Simon & Joseph B. Kadane - 1975 - Artificial Intelligence 6 (3):235-247.
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  • Toward a model of representation changes.Richard E. Korf - 1980 - Artificial Intelligence 14 (1):41-78.
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