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  1. A logic for default reasoning.Ray Reiter - 1980 - Artificial Intelligence 13 (1-2):81-137.
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  • (1 other version)A logical calculus of the ideas immanent in nervous activity.Warren S. McCulloch & Walter Pitts - 1943 - The Bulletin of Mathematical Biophysics 5 (4):115-133.
    Because of the “all-or-none” character of nervous activity, neural events and the relations among them can be treated by means of propositional logic. It is found that the behavior of every net can be described in these terms, with the addition of more complicated logical means for nets containing circles; and that for any logical expression satisfying certain conditions, one can find a net behaving in the fashion it describes. It is shown that many particular choices among possible neurophysiological assumptions (...)
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  • Recursive distributed representations.Jordan B. Pollack - 1990 - Artificial Intelligence 46 (1-2):77-105.
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  • Formalizing nonmonotonic reasoning systems.David W. Etherington - 1987 - Artificial Intelligence 31 (1):41-85.
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  • Knowledge-based artificial neural networks.Geoffrey G. Towell & Jude W. Shavlik - 1994 - Artificial Intelligence 70 (1-2):119-165.
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  • Cumulative default logic.Gerhard Brewka - 1991 - Artificial Intelligence 50 (2):183-205.
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  • Epistemological challenges for connectionism.John McCarthy - 1988 - Behavioral and Brain Sciences 11 (1):44-44.
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  • A sceptical theory of inheritance in nonmonotonic semantic networks.John F. Horty, Richmond H. Thomason & David S. Touretzky - 1990 - Artificial Intelligence 42 (2-3):311-348.
    inheritance reasoning in semantic networks allowing for multiple inheritance with exceptions. The approach leads to a definition of iaheritance that is..
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  • Alternative approaches to default logic.James P. Delgrande, Torsten Schaub & W. Ken Jackson - 1994 - Artificial Intelligence 70 (1-2):167-237.
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  • Reasoning, nonmonotonicity and learning in connectionist networks that capture propositional knowledge.Gadi Pinkas - 1995 - Artificial Intelligence 77 (2):203-247.
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  • Default reasoning in semantic networks: A formalization of recognition and inheritance.Lokendra Shastri - 1989 - Artificial Intelligence 39 (3):283-355.
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