DocumentCode :
3272879
Title :
Self-organized cooperation between agents that have to solve resource collection tasks
Author :
Moritz, Ruby L. V. ; Middendorf, Martin
Author_Institution :
Parallel Comput. & Complex Syst. Group, Univ. Leipzig, Leipzig, Germany
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
206
Lastpage :
212
Abstract :
We analyze the behavior and efficiency of a task-force of heterogeneous agents, which have different skills to solve a resource collection task. The agents can move within an arena and are able to cooperate in order to accessing the skills of other agents. Cooperation between agents is only possible, when they form a group by moving to the same location. Yet the number of agents on the same location is restricted. Thus the agents can only cooperate with a limited number of other agents at a time. Different strategies for the agents to decide whether to cooperate or not and how to detect the most favorable partner for cooperation within their surrounding are are investigated. In the studied scenarios the amounts of the different resources that are available varies between different locations. The agents are forced to decide whether to follow the drive of their own efficiency, or rather to build a cooperation with close-by agents that might be located in a different direction.
Keywords :
multi-agent systems; self-adjusting systems; behavior analysis; heterogeneous agents; resource collection tasks; self-organized cooperation; Availability; Batteries; Materials; Particle swarm optimization; Robots; Sensors; Turning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Swarm Intelligence (SIS), 2013 IEEE Symposium on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/SIS.2013.6615180
Filename :
6615180
Link To Document :
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