Made available in DSpace on 2014-12-17T15:47:48Z (GMT). No. of bitstreams: 1 ValeriaMSB.pdf: 564848 bytes, checksum: fbed1b62b5d33ac05db3c528f1bdcf62 (MD5) Previous issue date: 2006-07-14 / The use of intelligent agents in multi-classifier systems appeared in order to making the centralized decision process of a multi-classifier system into a distributed, flexible and incremental one. Based on this, the NeurAge (Neural Agents) system (Abreu et al 2004) was proposed. This system has a superior performance to some combination-centered methods (Abreu, Canuto, and Santana 2005). The negotiation is important to the multiagent system performance, but most of negotiations are defined informaly. A way to formalize the negotiation process is using an ontology. In the context of classification tasks, the ontology provides an approach to formalize the concepts and rules that manage the relations between these concepts. This work aims at using ontologies to make a formal description of the negotiation methods of a multi-agent system for classification tasks, more specifically the NeurAge system. Through ontologies, we intend to make the NeurAge system more formal and open, allowing that new agents can be part of such system during the negotiation. In this sense, the NeurAge System will be studied on the basis of its functioning and reaching, mainly, the negotiation methods used by the same ones. After that, some negotiation ontologies found in literature will be studied, and then those that were chosen for this work will be adapted to the negotiation methods used in the NeurAge. / A utiliza??o de agentes inteligentes em sistemas multi-classificadores surgiu devido ? necessidade de tornar o processo de tomada de decis?o de tais sistemas distribu?do, aut?nomo e flex?vel. Baseado nisso, foi proposto o sistema NeurAge (Neural Agents) (Abreu et al 2004). Este sistema possui um desempenho superior a v?rios m?todos de combina??o centralizados (Abreu, Canuto, and Santana 2005). A negocia??o ? importante para o desempenho de um sistema multiagente, por?m a maioria das negocia??es s?o definidas de maneira informal. Um modo de formalizar as negocia??es ? atrav?s do uso de ontologias. Dentro do contexto de classifica??o de padr?es, o uso de ontologias fornece uma abordagem para formalizar os conceitos e regras que governam as rela??es entre esses conceitos. O objetivo deste trabalho ? utilizar ontologias para formalizar os m?todos de negocia??o de um sistema multiagente para reconhecimento de padr?es, mais especificamente o sistema NeurAge. Atrav?s de ontologias, pretende-se deixar o sistema NeurAge mais formal e aberto, permitindo que novos agentes possam fazer parte de tal sistema durante o processo de negocia??o. Para a realiza??o deste objetivo, o Sistema NeurAge ser? estudado com base em seu funcionamento e focalizando, principalmente, os m?todos de negocia??o utilizados pelo mesmo. Na seq??ncia, algumas ontologias para negocia??o encontradas na literatura ser?o estudadas, e ent?o aquelas que foram escolhidas para este trabalho ser?o adaptadas aos m?todos de negocia??o utilizados no NeurAge.