مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

817
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

DESIGN ONLINE COLLABORATIVE PLANNING SERVICE BASED ON MARKOV PROCESS IN COMMAND AND CONTROL DOMAIN

Pages

  147-159

Abstract

 Although existing Planning methods can plan under uncertainty and decentralize situation, most of them malfunction in some complicated conditions of COMMAND AND CONTROL scenarios such as real time decision making, needing more accurate planning, bounded communication between agents, dynamic worlds and partially observable environments. Among suitable models for these situations, extended models of DEC-POMDPs such as MAOP-COMM can be considered for handing these conditions. It is possible to improve MAOP-COMM model to do planning for agents with double precision. In this paper, the algorithm of MAOP-COMM model has been improved by upgrading value function heuristic and using "two steps look ahead" in the strategy of finding best policy and making correct decision. In the next step, the improved method was implemented in a web service frame work. The web service gets the desired bounded scenario from the architect and performs ONLINE PLANNING to generate plans and sequence of actions regarding to environment dynamicity. The obtained results, show preference of the improved algorithm, So that the designed service with improved algorithm can perform ONLINE PLANNING for agents in a decentralized multi-agent system in uncertain condition with better performance and high percent of correct decision making.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    NAGHIAN FESHARAKI, M., SADATI, S., MOMENI AZNDARIAN, A.H., & HOSSEINI, S.M.. (2017). DESIGN ONLINE COLLABORATIVE PLANNING SERVICE BASED ON MARKOV PROCESS IN COMMAND AND CONTROL DOMAIN. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, 8(2 ), 147-159. SID. https://sid.ir/paper/167528/en

    Vancouver: Copy

    NAGHIAN FESHARAKI M., SADATI S., MOMENI AZNDARIAN A.H., HOSSEINI S.M.. DESIGN ONLINE COLLABORATIVE PLANNING SERVICE BASED ON MARKOV PROCESS IN COMMAND AND CONTROL DOMAIN. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY[Internet]. 2017;8(2 ):147-159. Available from: https://sid.ir/paper/167528/en

    IEEE: Copy

    M. NAGHIAN FESHARAKI, S. SADATI, A.H. MOMENI AZNDARIAN, and S.M. HOSSEINI, “DESIGN ONLINE COLLABORATIVE PLANNING SERVICE BASED ON MARKOV PROCESS IN COMMAND AND CONTROL DOMAIN,” (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, vol. 8, no. 2 , pp. 147–159, 2017, [Online]. Available: https://sid.ir/paper/167528/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button