• DocumentCode
    531272
  • Title

    How Fast Can a BDI Agent Respond?

  • Author

    Zhang, Huiliang ; Miao, Chunyan ; Huang, Shell Ying ; Shen, Zhiqi ; Luo, Xudong

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    2
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    189
  • Lastpage
    196
  • Abstract
    It is very important to know how fast a BDI agent can react to and process incoming event sequences if we want to apply such autonomous agents into time-sensitive applications like the Close-In weapon system in air-carriers. In, we proposed an analysis method for traditional sequential agents. In this paper we extend the theoretical analysis method to parallel BDI agents. Our method can estimate the average response time using the average attributes of a sequence of events based on probability and queueing theory. The simulation experiments show that our theoretical analysis method is effective. We also show by an experiment that an agent that dynamically allocates its computational time resources perform better than one that does not. Thus, the theoretical method suggests a way to quickly estimate the performance of an agent if the average attributes of the incoming event sequence are known in advance. Such an analysis of average response time can definitely benefit constructing more efficient BDI agents that situate in time-sensitive environments.
  • Keywords
    computational complexity; multi-agent systems; probability; queueing theory; real-time systems; air carrier; autonomous agent; belief-desire-intention model; close in weapon system; computational time resource; event sequence; parallel BDI agent; probability; queueing theory; response time; theoretical analysis method; time sensitive application; BDI agent; Close-In weapon system; real-time autonomous system; response time analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.248
  • Filename
    5615777