Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
The evolution of the CooperA platform
Foundations of distributed artificial intelligence
Intelligent Adaptive Information Agents
Journal of Intelligent Information Systems - Special issue: adaptive intelligent agents
Coaching a simulated soccer team by opponent model recognition
Proceedings of the fifth international conference on Autonomous agents
Intelligent Software Agents: Foundations and Applications
Intelligent Software Agents: Foundations and Applications
ABC2 an Agenda Based Multi-Agent Model for Robots Control and Cooperation
Journal of Intelligent and Robotic Systems
VQQL. Applying Vector Quantization to Reinforcement Learning
RoboCup-99: Robot Soccer World Cup III
A Planning Component for RETSINA Agents
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
The RoboCup synthetic agent challenge 97
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
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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.