Advances in Artificial Intelligence SBIA by Ana L. C. Bazzan, Sofiane Labidi

By Ana L. C. Bazzan, Sofiane Labidi

This publication constitutes the refereed complaints of the seventeenth Brazilian Symposium on synthetic Intelligence, SBIA 2004, held in Sao Luis, Maranhao, Brazil in September/October 2004.
The fifty four revised complete papers awarded have been conscientiously reviewed and chosen from 208 submissions from 21 international locations. The papers are equipped in topical sections on logics, making plans, and theoretical equipment; seek, reasoning, and uncertainty; wisdom illustration and ontologies; average language processing; computer studying, wisdom discovery, and information mining; evolutionary computing, synthetic lifestyles, and hybrid platforms; robotics and compiler imaginative and prescient; and independent brokers and multi-agent platforms.

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A valuation is then extended to literals and clauses in the following way: 1. 2. for any atom for any clause Valuations of literals are real numbers in [0,1], but valuations of clauses are non-negative real numbers that can exceed 1. A valuation is a model of if A valuation is a countermodel of if Therefore it is possible for a formula to have neither a model nor a countermodel. For instance, if then has neither a model nor a countermodel. A valuation is a model of a theory (set of clauses) if it is a model of all clauses in it.

Definition 6. Let and be finite subsets of inclusion, denoted by as follows: we say that We define the atomic if and only if Obviously, this relation is an order5. Now, we introduce a new concept of minimality based on this order. Definition 7. Let be finite. We say that the following conditions hold If and is atomic-minimal if then Example 1. Let us consider the following sets of FDs: 5 Note that, if we extend this relation to all subsets of this relation is a preorder but not an order. (finite and infinite subsets), TEAM LinG A Non-explosive Treatment of Functional Dependencies 37 These sets are equivalent in Paredaen’s logic and we have that: is optimal.

For problem SET031-3, the heuristic proposed did not bring any significant gain. And for problems SET024-6 and SET296-6, we can see that OTTER performed better than RR-OTTER. These last two problems illustrate the importance of choosing a good function H. Consider problem SET024-6. 5 seconds trying to prove it with 25 clauses and failed. 46 seconds. 5 seconds were spent with unsuccessful steps. 07 sec We can see that, given the global limit of 150 seconds, RR-OTTER solved more problems than the original OTTER.

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