By Mario Benevides, Carla Delgado, Renata P. de Freitas, Paulo A. S. Veloso (auth.), Ana L. C. Bazzan, Sofiane Labidi (eds.)
SBIA, the Brazilian Symposium on Arti?cial Intelligence, is a biennial occasion meant to be the most discussion board of the AI group in Brazil. The SBIA 2004 was once the seventeenth factor of the sequence initiated in 1984. due to the fact that 1995 SBIA has been accepting papers written and offered purely in English, attracting researchers from around the globe. at the moment it additionally began to have a world software committee, keynote invited audio system, and lawsuits released within the Lecture Notes in Arti?cial Intelligence (LNAI) sequence of Springer (SBIA 1995, Vol. 991, SBIA 1996, Vol. 1159, SBIA 1998, Vol. 1515, SBIA 2000, Vol. 1952, SBIA 2002, Vol. 2507). SBIA 2004 was once backed via the Brazilian computing device Society (SBC). It used to be held from September 29 to October 1 within the urban of S˜ ao Luis, within the northeast of Brazil, including the Brazilian Symposium on Neural Networks (SBRN). This a development of becoming a member of the AI and ANN groups to make the joint occasion a really interesting one. particularly, in 2004 those occasions have been additionally held togetherwiththeIEEEInternationalWorkshoponMachineLearningandSignal Processing (MMLP), previously NNLP. The organizationalstructure of SBIA 2004was just like different overseas scienti?cconferences.Thebackboneofthe conferencewasthe technicalprogram whichwascomplementedbyinvitedtalks,workshops,etc.onthemainAItopics.
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Additional info for Advances in Artificial Intelligence – SBIA 2004: 17th Brazilian Symposium on Artificial Intelligence, Sao Luis, Maranhao, Brazil, September 29-Ocotber 1, 2004. Proceedings
We show how to define a notion of relevance for first-order logic with equality and analyze the results of implementing the method and testing it over more than 700 problems from the TPTP problem library. Keywords: Automated theorem provers, relevance, approximate reasoning. 1 Introduction Logic has been used as a tool for knowledge representation and reasoning in several subareas of Artificial Intelligence, from the very beginning of the field. Among these subareas, we can cite Diagnosis , Planning , Belief Revision , etc.
It should also provide a proof-theory for these approximations. References 1. Marco Cadoli and Marco Schaerf. The complexity of entailment in propositional multivalued logics. Annals of Mathematics and Artificial Intelligence, 18(1):29–50, 1996. 2. Alessandra Carbone and Stephen Semmes. A Graphic Apology for Symmetry and Implicitness. Oxford Mathematical Monographs. Oxford University Press, 2000. 3. C. Chang and R. Lee. Symbolic Logic and Mechanical Theorem Proving. Academic Press, London, 1973.
For every theory and every clause iff So is sound and complete with respect to The next step is to generalize this approach to obtain a semantics of For that, for any a set V of valuations is a iff for each clause of size at most if V has a non-model of then V has a countermodel of V is a of if each is a model of this notion extends to theories as usual. It is then possible to define iff there is no countermodel of in any of Proposition 2 (). 3 15 Analysis of Dalal’s notion of a family of anytime reasoners has very nice properties.
Advances in Artificial Intelligence – SBIA 2004: 17th Brazilian Symposium on Artificial Intelligence, Sao Luis, Maranhao, Brazil, September 29-Ocotber 1, 2004. Proceedings by Mario Benevides, Carla Delgado, Renata P. de Freitas, Paulo A. S. Veloso (auth.), Ana L. C. Bazzan, Sofiane Labidi (eds.)