Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
Real-world AI systems have been recently deployed which can automatically analyze the plan and tactics of tennis players. As the game-state is updated regularly at short intervals...
Patrick Lucey, Alina Bialkowski, Peter Carr, Eric ...
In this work we present the basic concepts for a dynamic plug-in-based software architecture using concepts from the Petri netbased MAS framework Mulan. By transferring the concept...
Lawrence Cabac, Michael Duvigneau, Daniel Moldt, H...
Abstract. A framework for Multi Agent Data Mining (MADM) is described. The framework comprises a collection of agents cooperating to address given data mining tasks. The fundamenta...
Santhana Chaimontree, Katie Atkinson, Frans Coenen