Abstract
In the team described in this paper we realize a direct approach to soccer agents for the simulation league of the RoboCup ’98-tournament. Its backbone is formed by a detailed world model. Based on information which is reconstructed on the world model level, the rule-based decision levels chose a relevant action. The architecture for the goalie is different from the regular players, introducing heterogeneousness into the team, which combines the advantages of the different control strategies.KeywordsWorld ModelCommunication InterfaceAgent ArchitectureRule ConceptModel Data StructureThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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