Exploração de relações entre técnicas simbólicas e conexionistas da inteligência computacional. / Relations exploration between symbolic and connectionist techniques of computacional intelligence.

AUTOR(ES)

Fábio Lopes Caversan

DATA DE PUBLICAÇÃO

2006

RESUMO

This work consists of a contribution to the area of Computational Intelligence, relating to some of its main techniques: Fuzzy Computing and Neural Computing. These techniques are being used to solve problems that are too complex for traditional algorithmic approach or mathematical modeling. However, these problems are solved easly with the apparatus that composes the so-called human intelligence. The existence of relations, rules and transformations capable to transfer problems models from a domain to another, brings great advantages for the area of Computational Intelligence. Well established theories and models in one of the techniques can be used in others, for example, the various learning methods from Neural Computing and the use of expert knowledge capacity of Fuzzy Computing. Problems classically modeled in one technique can be seen from another point of view, possibiliting a better understanding and optimization of the solutions. An exploration of these relations is accomplished. Some previous works indicating the existence of some relations and models to develop the research work are presented. A platform for simulation and empirical data collection, for the explorations, is specified. Part of the platform was implemented, and simulations of a transformation from fuzzy to neural models had been carried through. The results of these experiments are presented.

ASSUNTO(S)

inteligência computacional computação nebulosa artificial intelligence neural computing computational intelligence inteligência artificial (ia) computação neural fuzzy computing

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