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The DEFACTO system for human omnipresence to coordinate agent teams: the future of disaster response

Published:25 July 2005Publication History

ABSTRACT

Enabling interactions of agent-teams and humans is a critical area of research, with encouraging progress in the past few years. However, previous work suffers from three key limitations: (i) limited human situational awareness, reducing human effectiveness in directing agent teams, (ii) the agent team's rigid interaction strategies that limit team performance, and (iii) lack of formal tools to analyze the impact of such interaction strategies. This paper presents a software prototype called DEFACTO (Demonstrating Effective Flexible Agent Coordination of Teams through Omnipresence). DEFACTO is based on a software proxy architecture and 3D visualization system, which addresses the three limitations mentioned above.

References

  1. D. V. Pynadath and M. Tambe. Automated teamwork among heterogeneous software agents and humans. Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), 7:71--100, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. P. Scerri, D. Pynadath, and M. Tambe. Towards adjustable autonomy for the real world. Journal of Artificial Intelligence Research, 17:171--228, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. Scerri, D. V. Pynadath, L. Johnson, P. Rosenbloom, N. Schurr, M. Si, and M. Tambe. A prototype infrastructure for distributed robot-agent-person teams. In AAMAS, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. The DEFACTO system for human omnipresence to coordinate agent teams: the future of disaster response

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          cover image ACM Conferences
          AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
          July 2005
          1407 pages
          ISBN:1595930930
          DOI:10.1145/1082473

          Copyright © 2005 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 25 July 2005

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          Overall Acceptance Rate1,155of5,036submissions,23%

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