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DEFINING A MODEL FOR AGENT-BASED PARTICIPANT SUPPORT IN GROUP DECISION MEETING

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Orientador(es)

Resumo(s)

This paper aim to present a multi-agent model for a simulation system, whose goal is to help one specific participant of multi-criteria group decision making process. This model has five main intervenients types: the human participant, who is using the simulation and argumentation support system; the participant agents, one associated to the human participant and the others simulating the others members of the decision meeting group; the directory agent; the proposal agents, representing the different alternatives for a decision (the alternatives are evaluated based on criteria); and the voting agent responsible for all the voting mechanisms. At this stage it is proposed a two phase algorithm. In the first phase each participant agent makes his own evaluation of the proposals under discussion, and the voting agent proposes a simulation of a voting. In second phase, after the dissemination of the voting results, each one of the participant agents will argue to convince the others to choose one of the possible alternatives. The arguments used to convince a specific participant are dependent on agent knowledge about that participant. The two-phase algorithm is applied iteratively.

Descrição

Palavras-chave

Group decision making Argumentation Intelligent agents

Contexto Educativo

Citação

Marreiros, G., Ramos, C. & Neves, J. (2004, July 21-23). Defining a model for a agent-based participant support in group decision meeting. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 71-77). Porto. Portugal

Projetos de investigação

Unidades organizacionais

Fascículo

Editora

Knowledge Engineering and Decision Support Research Group - GECAD

Licença CC

Sem licença CC