Titlebook: Investigating Explanation-Based Learning; Gerald DeJong Book 1993 Springer Science+Business Media New York 1993 artificial intelligence.kn

Regurgitation

somnambulism

,Case Study 2 — GENESIS: Learning Schemata for Narrative Text Understanding,ative text e.g., [.–.] generally encode relevant world knowledge in terms of . or . [.], that is, abstract descriptions of common plans and events. The amount of world knowledge represented in terms of schemata largely determines the performance of such a system. Experience with the FRUMP system [.]

Dungeon

,Case Study 3 — PHYSICS 101: Learning in Mathematically Based Domains,, electronics, chemistry, and economics, for example — share the common formalism of mathematics, and much of the reasoning in these fields involves understanding the constraints inherent in mathematical descriptions. Mathematical models of real–world situations are constructed, and these mathematic

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油毡

Designing Experiments to Extend the Domain Theory,e simplifications, assumptions, approximations, incorrect generalizations, overgeneralizations, undergeneralizations, and omissions. As a consequence of these and other similar shortcuts, the resulting theories are necessarily incomplete, possibly incorrect, models of the actual domains.

疏远天际

,Case Study 2 — GENESIS: Learning Schemata for Narrative Text Understanding,over such new concepts automatically. Practically, the number of schemata required to cover most natural—language domains is prohibitively large and prevents manual programming of all of the necessary concepts. Once again, automatic schema acquisition is essential.

舞蹈编排

in, which nonetheless are well-established in the clinic for the treatment of other neurological disorders. This chapter reviews the latest approaches covering brain tissue regeneration and neuromodulation, and discusses their limitations for clinical translation. Preclinical investigations on the u

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