By Ana L. C. Bazzan, Sofiane Labidi

ISBN-10: 3540232370

ISBN-13: 9783540232377

This ebook 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 provided have been conscientiously reviewed and chosen from 208 submissions from 21 nations. The papers are equipped in topical sections on logics, making plans, and theoretical tools; seek, reasoning, and uncertainty; wisdom illustration and ontologies; traditional language processing; computing device studying, wisdom discovery, and information mining; evolutionary computing, man made existence, and hybrid platforms; robotics and compiler imaginative and prescient; and self sustaining brokers and multi-agent platforms.

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**Extra info for Advances in Artificial Intelligence SBIA**

**Sample text**

08 200 We can see that for the problems SET003-1, SET018-1, and SET183-6, which OTTER could not solve given the limit of 150 seconds, RR-OTTER could find a solution, considering 50, 300 and 400 clauses respectively. In this cases, it is clear that limiting the attention to relevant clauses brings positive results. 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.

This is an unsurprising result due to the inherent exponentiality of the problem. Even for trivial examples (up to two FDs), the execution of this rewriting module generates a huge FDs set. It is clear that this situation requires us to investigate in another direction. If we are looking for an efficient method to solve the implication problem, we do not use Instead of that, a closure operator for attributes is used. Thus, if we have to prove if is a consequence of we compute (the closure of X in and we test if Y is a subset of In the literature there are several algorithms to compute the closure attribute operator in linear time (see [7,9] for further details).

Only problems in which the formula was a consequence of the base were considered. Two sets of tests were run. The first one (Tests 1) contained 285 problems from the “Set Theory” domain, and used as the knowledge base Base 1 described above. The function H was set to try to solve the problems with 25, then 50, 100, 200, 250, 300, 350, 400, 450, 500, 550, and 600 clauses at each step. 5 seconds. This gives a global time limit of 150 seconds. The second set of tests (Tests 2) contained 458 problems from the “Group Theory” domain and used Base 2.

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

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