By Ruth Aylett (auth.), Michael J. Wooldridge, Manuela Veloso (eds.)
Artificial Intelligence is without doubt one of the so much interesting and strange components of educational research to have emerged this century. For a few, AI is a real clinical self-discipline, that has made very important and primary contributions to using computation for our realizing of nature and phenomena of the human brain; for others, AI is the black paintings of computing device science.
Artificial Intelligence Today offers a exhibit for the sphere of AI because it stands this present day. The editors invited contributions either from conventional subfields of AI, akin to theorem proving, in addition to from subfields that experience emerged extra lately, similar to brokers, AI and the web, or man made actors. The papers themselves are a mix of extra really expert learn papers and authorative survey papers.
The secondary function of this ebook is to rejoice Springer-Verlag's Lecture Notes in man made Intelligence series.
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Additional resources for Artificial Intelligence Today: Recent Trends and Developments
Cambridge University Press, Cambridge, UK, 1991. 33 38. G. Brewka, J. Dix, and K. Konolige. Nonmonotonac Reasoning: A n Overview. , 1997. 39. F. M , Brown, editor. The Fk-ame Problem in Artificial Intelligence: Proceedings of the 1987 Workshop. Morgan Kaufman, 1987. 40. M. Buchheit, F. M. Donini, and A . Schaerf. Decidable reasoning in terminological knowledge representation systems. Journal of Artificial Intelligence Research, 1:109-138, 1993. 41. Buchheit, M. Nutt, and M. Staudt. Subsumption of queries to object-oriented databases.
Description logics with transitive roles. In Proceedings of the 1997 International Workshop on Description Logics (DL-97), pages 25-28, Gif sur Yvette, France, 1997. LRI, Universitk Paris-Sud. I. Horrocks and P. F . Patel-Schneider. Optimising propositional modal satisfiability for description logic subsumption. In J. Calmet and J. Plaza, editors, Proceedings of the International Conference on Artificial Intelligence and Symbolic Computation (AISC-98), volume 1476 of Lecture Notes in Artificial Intelligence, pages 234-246.
For example, the conclusions concerning Kermit should not be influenced by the conflict for Scooter. ” The default rule “Frogs are normally green” can then be written as the irnplicatioIi Frog A MGreen -+ Green. In order to treat this implication correctly, the logic needs an additional 29 inference rule, which is able to derive formulae of the form M4 according to their intended semantics. In principle, this inference rule allows us to deduce M#, if -4 cannot be deduced. This is not as simple as it may sound sincc we are faced with the following cyclic dependency: which formulae of the form -4 are deducible already depends on the inference rule to be defined.
Artificial Intelligence Today: Recent Trends and Developments by Ruth Aylett (auth.), Michael J. Wooldridge, Manuela Veloso (eds.)