Optimal composition of real-time systems
Artificial Intelligence
A decision-theoretic approach to resource allocation in wireless multimedia networks
DIALM '00 Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications
Communication decisions in multi-agent cooperation: model and experiments
Proceedings of the fifth international conference on Autonomous agents
Rational Communication in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Optimizing information exchange in cooperative multi-agent systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Minimizing communication cost in a distributed Bayesian network using a decentralized MDP
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A decision-theoretic approach for designing proactive communication in multi-agent teamwork
Proceedings of the 2004 ACM symposium on Applied computing
Decentralized control of cooperative systems: categorization and complexity analysis
Journal of Artificial Intelligence Research
Cooperative information sharing to improve distributed learning in multi-agent systems
Journal of Artificial Intelligence Research
On-line Coordination: Event Interaction and State Communication between Cooperative Agents
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
On-line coordination: Event interaction and state communication between cooperative agents
Web Intelligence and Agent Systems
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Agents with partial observability need to share information to achieve decentralised coordination. However, in resource-constrained systems, indiscriminate communication can create performance bottlenecks by consuming valuable bandwidth. Therefore, there is a tradeoff between the utility attained by communication and its cost. Here we address this tradeoff by developing a novel strategy to make communication selective based on information redundancy; ensuring communication only occurs when necessary, while maintaining acceptable coordination. We apply this strategy to a state-of-the-art communication protocol to evaluate its resource saving benefit in a distributed network routing problem. Furthermore, we design a mechanism to adapt its selectivity level to the prevailing resource constraints to ensure further improvements. Empirical studies show our selective strategy achieves relative savings in bandwidth usage of 50-90%, with only a 5-10% relative reduction in coordination effectiveness and the adaptive strategy further improves relative bandwidth usage by up to 10% and also relative coordination effectiveness by up to 12% over the non-adaptive approach.