Download e-book for kindle: Advances in Artificial Intelligence: 16th Brazilian by Sheila R. M. Veloso, Paulo A. S. Veloso (auth.), Guilherme

By Sheila R. M. Veloso, Paulo A. S. Veloso (auth.), Guilherme Bittencourt, Geber L. Ramalho (eds.)

ISBN-10: 3540001247

ISBN-13: 9783540001249

ISBN-10: 3540361278

ISBN-13: 9783540361275

The biennial Brazilian Symposium on Arti?cial Intelligence (SBIA 2002) – of which this can be the sixteenth occasion – is a gathering and dialogue discussion board for arti?cial intelligence researchers and practitioners around the world. SBIA is the top c- ference in Brazil for the presentation of analysis and functions in arti?cial intelligence. The ?rst SBIA was once held in 1984, and because 1995 it's been a global convention, with papers written in English and a world software committee, which this yr was once composed of forty five researchers from thirteen nations. SBIA 2002 used to be held along with the VII Brazilian Symposium on Neural Networks (SBRN 2002). SBRN 2002 specializes in neural networks and on different versions of computational intelligence. SBIA 2002, supported by way of the Brazilian laptop Society (SBC), used to be held in Porto de Galinhas/Recife, Brazil, 11–14 November 2002. the decision for papers was once very profitable, leading to 146 papers submitted from 18 international locations. a complete of 39 papers have been approved for booklet within the court cases. we want to thank the SBIA 2002 sponsoring firms, CNPq, Capes, and CESAR, and likewise the entire authors who submitted papers. particularly, we wish to thank this system committee participants and the extra referees for the di?cult job of reviewing and commenting at the submitted papers.

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Extra info for Advances in Artificial Intelligence: 16th Brazilian Symposium on Artificial Intelligence, SBIA 2002 Porto de Galinhas/Recife, Brazil, November 11–14, 2002 Proceedings

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Throughout the paper, we use lowercase Latin letters to denote propositional letters, lowercase Greek letters to denote formulas, and uppercase letters (Greek or Latin) to denote sets of formulas. The letters S and s will denote sets of propositional letters. Let S ⊂ P be a finite set of propositional letters. We abuse notation and write that, for any formula α ∈ LC , α ∈ S if all its propositional letters are in S. A propositional valuation vp is a function vp : P → {0, 1}. 2 Approximate Entailment We briefly present here the notion of approximate entailment and summarise the main results obtained in [SC95].

This kind of reasoning is non-monotonic, as the set of possible inferences does not grow monotonically upon addition of new information. Several formal systems have been proposed to model non-monotonic reasoning [Rei80, Moo88, McC80], but they ended up being computationally harder than classical logic. Prioritized inference [Bre94] assigns degrees of certainty to formulas. If two formulas contradict each other, the one with the highest degree “wins”. Non-monotonicity arises when one adds a formula that cancels some previous inference.

In case (iii), the two sorts of inferences behave in a different way, since k resolves inconsistencies but 3S does not. Let B = p, ¬p . Then for any k, B k p, while for any S containing p, B 3S p. And for any k, B k ¬p, while for any S not containing p, B 3S ¬p. Playing with the parameters k and S allows for fine tuning of the approximation process. 3 Structured Bases To reduce the complexity of the theoretical model, we still have to optimize the collection of relevant formulas, organizing the knowledge base.

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Advances in Artificial Intelligence: 16th Brazilian Symposium on Artificial Intelligence, SBIA 2002 Porto de Galinhas/Recife, Brazil, November 11–14, 2002 Proceedings by Sheila R. M. Veloso, Paulo A. S. Veloso (auth.), Guilherme Bittencourt, Geber L. Ramalho (eds.)


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