Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Top-down search for coordinating the hierarchical plans of multiple agents
Proceedings of the third annual conference on Autonomous Agents
Integrating multiagent coordination with reactive plan execution
Proceedings of the fifth international conference on Autonomous agents
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Abstract reasoning for multiagent coordination and planning
Abstract reasoning for multiagent coordination and planning
Stratified Multi-agent HTN Planning in Dynamic Environments
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Stability oriented task-structure based multi-agent replanning
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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Multiagent systems sometimes undergo changes that cause coordination commitments to become insufficient or out of date, such that the coordinated agent plans need to be repaired or replaced. When recoordination becomes necessary, disruption to the commitments made by the agents in their original plans should be minimized. We approach the problem of minimizing disruption by augmenting pre-existing coordination technology by developing metrics and automated processes for it to rank and potentially recommend new coordination commitments more rapidly. In this paper, we explain, examine, and evaluate our new metrics and processes, demonstrating empirically that flexible measures of disruption can streamline the coordination process.