Channeled multicast for group communications
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Extending Multi-agent Cooperation by Overhearing
CooplS '01 Proceedings of the 9th International Conference on Cooperative Information Systems
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Towards a Formal Approach to Overhearing: Algorithms for Conversation Identification
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Journal of Artificial Intelligence Research
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Lately, overhearing has gained interest in monitoring multi-agent settings. Previous investigations provided an extensive set of techniques using overhearing. However, most previous investigations rely on a problematic assumption that all inter-agent communications can be overheard. In the real-world settings, it is reasonable to assume that the available overhearing resources will be essentially limited. Thus, overhearing targets should be carefully chosen. We provide a theoretical and empirical study of selective overhearing. In particular, we focus on overhearing hierarchical organizations that are highly popular in the real-world settings. This paper first presents a theoretical approach for modelling overhearing in hierarchical organizations . Then, based on the proposed model, we present experiments in simulating conversations in hierarchical organizations, and empirically examine a set of overhearing strategies particularly suited for such organizations. Based on these extensive experiments, we are able to determine efficient overhearing strategies and isolate the parameters influencing their behavior.