By B. du Boulay, V. Sgurev
Contemporary effects and ongoing learn in man made Intelligence are defined during this ebook, with emphasis on basic questions in numerous key components: laptop studying, neural networks, automatic reasoning, ordinary language processing, and common sense tools in AI. There also are extra utilized papers within the fields of imaginative and prescient, architectures for KBS, specialist structures and clever tutoring platforms. one of many alterations seeing that AIMSA'90 has been the elevated numbers of papers submitted within the fields of laptop studying, neural networks and hybrid systems.
One of the precise positive factors of the AIMSA sequence of meetings is their insurance of labor throughout either jap and Western Europe and the previous Soviet Union in addition to papers from North the USA. AIMSA'92 is not any exception and this quantity presents a different multi-cultural view of AI
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6] X. Huang. An Extensible Natural Calculus for Argument Presentation. Technical Report SEKI SR-91-3, Uni. Kaiserslautern, 1991.  P. Johnson-Laird. Mental Models. Harvard Univ. Press, Cambridge, Mas sachusetts, 1983.  P. Johnson-Laird and R. Byrne. Deduction. Ablex Publishing Corporation, 1990.  M. Kerber. On the representation of mathematical knowledge in frames and its consistency. In WOCFAI '91, 1991.  C. Lingenfelder. Transformation and Structuring of Computer Generated Proofs.
50 2 Basics of logic programming We use here standard notions and notation for logic programming as can be found in  or , We consider definite logic programs (in this paper often called logic program) defined as sets of definite program formulas. In some definitions we shall use infinite programs for technical reasons, but t h e logic programs in t h e modules are, of course, finite. We say t h a t a logic program Ρ defines a predicate ρ if ρ occurs in t h e head of a formula in P, while Ρ uses a predicate ρ if ρ occurs in t h e body of some formula in P.
B)). can be shown. 54 4 A n approach to structured knowledge bases In this section we give a logical formalization of t h e second model for structured knowledge bases outlined in t h e introduction. An unstructured knowledge base consists of a knowledge base KB containing t h e knowledge in t h e form of logic programs (possibly including negation) in t h e sense of , and an integrity constraint theory INT containing closed predicate logic formulae describing properties KB should satisfy. We say t h a t an answer substitution σ of a query <— φ is correct if t h e universal closure Ϋ(φσ) follows from t h e completion of KB.
Artificial Intelligence V. Methodology, Systems, Applications by B. du Boulay, V. Sgurev