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Plan and Intent Recognition in a Multi-agent System for Collective Box Pushing
Ahmad, Najla Agah, Arvin
Ahmad, Najla
Agah, Arvin
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Abstract
In a distributed multi-agent system, an idle agent may be available to assist other agents in the system. An agent architecture called intent recognition is proposed in this article to accomplish this with minimal communication. To assist other agents in the system, an agent performing recognition observes the tasks other agents are performing. Unlike the much-studied field of plan recognition, the overall intent of an agent is recognized instead of a specific plan. The observing agent may use capabilities that it has not observed. In this study, the key research question is: What are intent-recognition systems and how can these be used to have agents autonomously assist each other effectively and efficiently? A conceptual framework is proposed to address this question. An implementation of the conceptual framework is tested and evaluated. A set of metrics, including task time and number of communications, is used to compare the performance of plan recognition and intent recognition. This research shows that under certain conditions, an intent-recognition system is more efficient than a plan recognition system.
Description
This is the published version.
Date
2014
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Publisher
De Gruyter
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Keywords
Studies, Computer science, Distributed control systems, Downtime, Network management systems, Computer architecture
Citation
Ahmad, Najla, and Arvin Agah. "Plan and Intent Recognition in a Multi-agent System for Collective Box Pushing." Journal of Intelligent Systems 23.1 (2014): n. pag. http://dx.doi.org/10.1515/jisys-2013-0044.