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Publicação
Adapting Meeting Tools to Agent Decision
Autores
Orientador(es)
Resumo(s)
Electricity markets are complex environments
comprising several negotiation mechanisms. MASCEM (Multi-
Agent System for Competitive Electricity Markets) is a simulator
developed to allow deep studies of the interactions between the
players that take part in the electricity market negotiations.
ALBidS (Adaptive Learning Strategic Bidding System) is a
multiagent system created to provide decision support to market
negotiating players. Fully integrated with MASCEM it considers
several different methodologies based on very distinct
approaches. The Six Thinking Hats is a powerful technique used
to look at decisions from different perspectives. This paper aims
to complement ALBidS strategies usage by MASCEM players,
providing, through the Six Thinking Hats group decision
technique, a means to combine them and take advantages from
their different perspectives. The combination of the different
proposals resulting from ALBidS’ strategies is performed
through the application of a Genetic Algorithm, resulting in an
evolutionary learning approach.
Descrição
Palavras-chave
Artificial Intelligence Decision Support Systems Electricity Markets Genetic Algorithms Multiagent Simulation
Contexto Educativo
Citação
Editora
IEEE