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  1. (1 other version)The aim of inductive logic.Rudolf Carnap - 1996 - Journal of Symbolic Logic 32 (1):3--259.
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  • A Framework for Representing Knowledge.Marvin Minsky - unknown
    It seems to me that the ingredients of most theories both in Artificial Intelligence and in Psychology have been on the whole too minute, local, and unstructured to account–either practically or phenomenologically–for the effectiveness of common-sense thought. The "chunks" of reasoning, language, memory, and "perception" ought to be larger and more structured; their factual and procedural contents must be more intimately connected in order to explain the apparent power and speed of mental activities.
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  • The use of simplicity in induction.John G. Kemeny - 1953 - Philosophical Review 62 (3):391-408.
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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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  • Generalization learning techniques for automating the learning of heuristics.D. A. Waterman - 1970 - Artificial Intelligence 1 (1-2):121-170.
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  • Simplicity in scientific theories.H. R. Post - 1960 - British Journal for the Philosophy of Science 11 (41):32-41.
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  • Generalization as search.Tom M. Mitchell - 1982 - Artificial Intelligence 18 (2):203-226.
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  • Dendral and meta-dendral: Their applications dimension.Bruce G. Buchanan & Edward A. Feigenbaum - 1978 - Artificial Intelligence 11 (1-2):5-24.
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  • Inductive learning of structural descriptions.Thomas G. Dietterich & Ryszard S. Michalski - 1981 - Artificial Intelligence 16 (3):257-294.
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  • A "communication analysis" of concept learning.Carl I. Hovland - 1952 - Psychological Review 59 (6):461-472.
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  • Human acquisition of concepts for sequential patterns.Herbert A. Simon & Kenneth Kotovsky - 1963 - Psychological Review 70 (6):534-546.
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  • A powerful and efficient structural pattern recognition system.Brian L. Cohen - 1977 - Artificial Intelligence 9 (3):223-255.
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