Publication: Roboskeleton: an architecture for coordinating Robot Soccer agents
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2006
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Elsevier
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Abstract
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agent environment. This framework has been previously instantiated in a deliberative domain (electronic tourism), where planning was used to integrate Web information in a tourist plan. RoboSkeleton results from the instantiation of the same framework, SkeletonAgent, in a very different domain, the robot soccer. This paper shows how this architecture is used to obtain collaborative behaviours in a reactive domain. The paper describes how the different modules of the architecture for the robot soccer agents are designed, directly showing the flexibility of our framework.
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Keywords
Multi-agent architectures, Robot soccer, Distributed AI systems
Bibliographic citation
Engineering Applications of Artificial Intelligence, 2006, vol. 19, n. 2, p. 179-188