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Generation of Coupling Topologies for Multi-Agent Systems using Non-Cooperative Games

Maximilian Kloock, Matthis Dirksen, Stefan Kowalewski, Bassam Alrifaee

Year
2022
Citations
2
Access
Open access

Abstract

<p>This paper presents a method for generating coupling topologies for multi-agent systems. Our method is based on a non-cooperative game in which each agent chooses couplings to activate or deactivate using a utility function. The utility function measures the importance of agents to one another and enables conflict avoidance in distributed decisionmaking. Depending on the application’s needs, our method is able to generate unidirectional or bidirectional couplings. In our evaluation, we used car-like robots in a simulation environment. It shows that the generated coupling topologies are applicable to the domain of networked and autonomous vehicles.</p>

Keywords

Network topologyCoupling (piping)Domain (mathematical analysis)Computer scienceMulti-agent systemFunction (biology)Topology (electrical circuits)RobotDistributed computingEngineering

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