Barreto, JoãoPraça, IsabelPinto, TiagoSousa, TiagoVale, Zita2015-05-042015-05-042013-04http://hdl.handle.net/10400.22/5882Electricity 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.engArtificial IntelligenceDecision Support SystemsElectricity MarketsGenetic AlgorithmsMultiagent Simulationconference object10.1109/EAIS.2013.6604102