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  1. Probabilistic logic.Nils J. Nilsson - 1986 - Artificial Intelligence 28 (1):71-87.
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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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  • Fuzzy logic and approximate reasoning.L. A. Zadeh - 1975 - Synthese 30 (3-4):407-428.
    The term fuzzy logic is used in this paper to describe an imprecise logical system, FL, in which the truth-values are fuzzy subsets of the unit interval with linguistic labels such as true, false, not true, very true, quite true, not very true and not very false, etc. The truth-value set, , of FL is assumed to be generated by a context-free grammar, with a semantic rule providing a means of computing the meaning of each linguistic truth-value in as a (...)
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  • REF-ARF: A system for solving problems stated as procedures.Richard E. Fikes - 1970 - Artificial Intelligence 1 (1-2):27-120.
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  • Strips: A new approach to the application of theorem proving to problem solving.Richard E. Fikes & Nils J. Nilsson - 1971 - Artificial Intelligence 2 (3-4):189-208.
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  • Learning and executing generalized robot plans.Richard E. Fikes, Peter E. Hart & Nils J. Nilsson - 1972 - Artificial Intelligence 3 (C):251-288.
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  • Modeling simultaneous actions and continuous processes.Gary G. Hendrix - 1973 - Artificial Intelligence 4 (3-4):145-180.
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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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