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  1. Planning and Acting.Drew McDermott - 1978 - Cognitive Science 2 (2):71-100.
    A new theory of problem solving is presented, which embeds problem solving in the theory of action; in this theory, a problem is just a difficult action. Making this work requires a sophisticated language for‐talking about plans and their execution. This language allows a broad range of types of action, and can also be used to express rules for choosing and scheduling plans. To ensure flexibility, the problem solver consists of an interpreter driven by a theorem prover which actually manipulates (...)
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  • Quantitative results concerning the utility of explanation-based learning.Steven Minton - 1990 - Artificial Intelligence 42 (2-3):363-391.
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  • Learning to plan in continuous domains.Gerald F. DeJong - 1994 - Artificial Intelligence 65 (1):71-141.
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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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  • The Synthesis of Digital Machines with Provable Epistemic Properties.Stanley J. Rosenschein & Leslie Pack Kaelbling - 1988 - Journal of Symbolic Logic 53 (2):664-664.
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