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Challenges in Robust Situation Recognition through Information Fusion for Mission Criticial Multi-agent Systems

  • Hiroaki Kitano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3020)

Abstract

The goal of this paper is to highlights one of emergent scientific issues in RoboCup task domains that has broader applications even outside of the RoboCup task domains. This paper particularly focuses on robust recognition through information fusions issue among numbers of others issues that are equally important. The robust recognition through information fusion is selected because it is one of the most universal issues in AI and robotics, and particularly interesting for domains such as soccer and rescue that has high degree of dynamics and uncertainty, as well as being resource bounded. The author wish to provide a conceptual framework on robust perception from single agent to multi-agent teams.

Keywords

Information Fusion Robust System Rescue Team Bacterial Chemotaxis Perception Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Hiroaki Kitano
    • 1
    • 2
    • 3
  1. 1.ERATO Kitano Symbiotic Systems ProjectJapan Science and Technology CorporationTokyoJapan
  2. 2.The Systems Biology InstituteTokyoJapan
  3. 3.Sony Computer Science Laboratories, Inc.TokyoJapan

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