Communications of the ACM
Situation Based Strategic Positioning for Coordinating a Team of Homogeneous Agents
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
Layered learning in multiagent systems
Layered learning in multiagent systems
Dynamic Positioning Method Based on Dominant Region Diagram to Realize Successful Cooperative Play
RoboCup 2007: Robot Soccer World Cup XI
Intelligent state changing applied to multi-robot systems
Robotics and Autonomous Systems
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In this paper we are proposing an approach for flexible positioning of players in Soccer Simulation in a Multi-Agent environment. We introduce Dynamic Positioning based on Voronoi Cells (DPVC) as a new method for players' positioning which uses Voronoi Diagram for distributing agents in the field. This method also uses Attraction Vectors that indicate agents' tendency to specific objects in the field with regard to the game situation and players' roles. Finally DPVC is compared with SBSP as the conventional method of positioning.