Expert-Rete: um motor de inferência para agentes cognitivos

• Ano de defesa: 2005
• Autor(a) principal: Souza, Rodrigo Rache de Almeida
• Orientador(a): Costa, Augusto Cesar Pinto Loureiro da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Salvador
• Programa de Pós-Graduação: Programa de Pós-Graduação em Sistemas e Computação
• Departamento: Sistemas e Computação
• País: BR
• Palavras-chave em Português: Inteligência Artificial; Sistemas Multiagentes, Motor de inferência, Expert-Coop++, Algoritmo Rete, Agentes Cognitivos.
• Palavras-chave em Inglês: Artificial Intelligence; Multiagent Systems; Inference Engine; Expert-Coop++; Rete Algorithm; Cognitive Agents.
• Área do conhecimento CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://teste.tede.unifacs.br:8080/tede/handle/tede/251

This dissertation has focus on inference techniques used in Artificial Intelligence, demonstrating the relevance of the inference engine in Multiagent Systems. A general-purpose inference engine is implemented based on the Rete Algorithm, the Expert-Rete, includig as contributions the optimization of the one-input nodes; the optimization of the twoinput nodes; 6 strategies for conflict resolution; adoption of 3 formalisms to knowledge representation; other configuration parameters, like maximum number of interaction between rules and facts, maximum number of inference cycles. The Expert-Rete inference engine was incorporated in the library Expert-Coop++, used to build Multiagent Systems. After this implementation, the Expert-Rete was analyzed among some aspects, comparing with the inference engine based on the forward chaining, already developed in the library, proving that Expert-Rete is more efficient than the former method for complex base rules.