Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
On-the-fly generation of multi-robot team formation strategies based on game conditions
Expert Systems with Applications: An International Journal
Fluctuated peer selection policy and its performance in large-scale multi-agent systems
Web Intelligence and Agent Systems
Security applications of trust in multi-agent systems
Journal of Computer Security
Influence of inter-agent variation on system redundancy in multiagent systems
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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This work shows that a simple response probability model may be used in decentralized multiagent systems to dynamically build and maintain redundancy in terms of agent experience. We model this system theoretically and use this model to provide guidance on how to choose response probability values that ensure that task needs are met and that ensure the a given level of redundancy is achieved.