Intention-aware planning under uncertainty for interacting with self-interested, boundedly rational agents

  • Authors:
  • Trong Nghia Hoang;Kian Hsiang Low

  • Affiliations:
  • National University of Singapore, Republic of Singapore;National University of Singapore, Republic of Singapore

  • Venue:
  • Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
  • Year:
  • 2012

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Abstract

A key challenge in non-cooperative multi-agent systems is that of developing efficient planning algorithms for intelligent agents to perform effectively among boundedly rational, self-interested (i.e., non-cooperative) agents (e.g., humans). To address this challenge, we investigate how intention prediction can be efficiently exploited and made practical in planning, thereby leading to efficient intention-aware planning frameworks capable of predicting the intentions of other agents and acting optimally with respect to their predicted intentions.