Fundamentals of Artificial Intelligence Research: International Workshop FAIR '91, Smolenice, Czechoslovakia, September 8-13, 1991. Proceedings: 535 - Brossura

Kelemen, Jozef; Jorrand, Philippe

Brossura

ISBN 10: 3540545077 ISBN 13: 9783540545071

Casa editrice: Springer, 2008

Riassunto

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.

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Contenuti:

User-oriented theorem proving with the ATINF graphic proof editor.- A modal analysis of possibility theory.- Making inconsistency respectable: A logical framework for inconsistency in reasoning, part I — A position paper.- Relational proof systems for some AI logics.- Formal grammars and cognitive architectures.- Efficient simulations of nondeterministic computations and their speed-up by the ring of cooperating machines.- A semantic characterization of disjunctive relations.- Execution of defeasible temporal clauses for building preferred models.- On the phenomenon of flattening “flexible prediction” concept hierarchy.- Possibilistic logic as a logical framework for min-max discrete optimisation problems and prioritized constraints.- An approach to data-driven learning.- Extending abduction from propositional to first-order logic.- Building in equational theories into the connection method.- Logical fiberings and polycontextural systems.- Automated deduction with associative commutative operators.- Towards a lattice of knowledge representation systems.- Inconsistencies handling: nonmonotonic and paraconsistent reasoning.- An approach to structural synthesis of data processing programs.- Negation as failure and intuitionistic three-valued logic.- Symbolic Computation and Artificial Intelligence.

Su questa edizione

• Editore: Springer
• Data di pubblicazione: 2008
• ISBN 10: 3540545077
• ISBN 13: 9783540545071
• Rilegatura: Copertina flessibile
• Numero di pagine: 268