Philippe Jorrand - Böcker

This volume contains the elaborated and harmonized versions of seven lectures given at the first Advanced Course in Artificial Intelligence, held in Vignieu, France, in July 1985. Most of them were written in tutorial form; the book thus provides an extremely valuable guide to the fundamental aspects of AI. In the first part, Delgrande and Mylopoulos discuss the concept of knowledge and its representation. The second part is devoted to the processing of knowledge. The contribution by Huet shows that both computation and inference or deduction are just different aspects of the same phenomenon. The chapter written by Stickel gives a thorough and knowledgeable introduction to the most important aspects of deduction by some form of resolution. The kind of reasoning that is involved in inductive inference problem solving (or programming) from examples, and in learning, is covered by Biermann. The tutorial by Bibel covers the more important forms of knowledge processing that might play a significant role in common sense reasoning. The third part of the book focuses on logic programming and functional programming. Jorrand presents the language FP2, where term rewriting forms the basis for the semantics of both functional and parallel programming. In the last chapter, Shapiro gives an overview of the current state of concurrent PROLOG.

This volume contains 6 invited lectures and 13 submittedcontributions to the scientific programme of theinternational workshop Fundamentals of ArtificialIntelligence Research, FAIR '91, held at Smolenice Castle,Czechoslovakia, September 8-12, 1991, under the sponsorshipof the European Coordinating Committee for ArtificialIntelligence, ECCAI. FAIR'91, the first of an intendedseries of international workshops, addresses issues whichbelong to the theoretical foundations of artificialintelligence considered as a discipline focused on concisetheoretical description of some aspects of intelligence bytoolsand methods adopted from mathematics, logic, andtheoretical computer science. The intended goal of the FAIRworkshops is to provide a forum for the exchange of ideasand results in a domain where theoretical models play anessential role. It is felt that such theoretical studies,their development and their relations to AI experiments andapplications have to be promoted in the AI researchcommunity.