Paper Info
Title
How Fast Can a BDI Agent Respond?
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 [15], 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.
Year
DOI
Venue
2010
10.1109/WI-IAT.2010.248
IAT
Keywords
Field
DocType
traditional sequential agent,bdi agent respond,computational time resource,average attribute,autonomous agent,analysis method,efficient bdi agent,theoretical method,bdi agent,average response time,theoretical analysis method,computational complexity,real time systems,real time,simulation experiment,response time,queueing theory,probability,multi agent systems
Autonomous agent,Weapon system,Computer science,Response time,Belief–desire–intention model,Multi-agent system,Queueing theory,Artificial intelligence,Event sequence,Computational complexity theory
Conference
Citations 
PageRank 
References 
2
0.35
4
Authors
5
Name
Order
Citations
PageRank
Huiliang Zhang1426.89
Chunyan Miao22307195.72
Shell Ying Huang316119.52
Zhiqi Shen4114882.57
Xudong Luo577364.70