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
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