• DocumentCode
    2213265
  • Title

    Distributed on-line Bayesian search

  • Author

    Garcia, Alfredo ; Campos, Enrique ; Li, Chenyang

  • Author_Institution
    Virginia Univ., VA
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    In this paper, we outline the basis for a new distributed Bayesian search scheme in which all Bayesian decision makers recognize the same performance objective but do not possess the ability to communicate with each other. Coordination among the players is achieved indirectly by tracking search performance. This scheme is ideal for unmanned vehicles searching in extreme environments where extensive bilateral communication between actuators is not feasible. Preliminary results suggest our new search scheme is scalable and can easily be adapted for tracking moving targets
  • Keywords
    Bayes methods; belief networks; search problems; Bayesian decision makers; distributed on-line Bayesian search; moving target tracking; search performance; Actuators; Bayesian methods; Convergence; Probes; Sampling methods; Scalability; Statistical distributions; System performance; Target tracking; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing, 2005 International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    1-4244-0030-9
  • Type

    conf

  • DOI
    10.1109/COLCOM.2005.1651263
  • Filename
    1651263