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Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation

Jaafar, J. and McKenzie, E. (2011) Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation. [Citation Index Journal]

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Official URL: http://ejcsit.uniten.edu.my/index.php/eJCSIT/index

Abstract

In this paper, we present a solution for autonomous agent navigation in unknown virtual environments. A new decision making method using fuzzy logic is proposed. The objective is to solve behaviour conflicts in behaviour-based architectures. Two main problems have been identified: how to decide which behaviour should be activated at each instant; and how to combine the results from different behaviours into one action. The method uses fuzzy alpha-levels to compute behaviour weights for each behaviour and the final action is selected using the Hurwicz criterion. The experimental results show that the autonomous virtual agent had successfully navigated various virtual environments. The results show the virtual agent required less decision making which means more reliable decisions had been generated and redundant decisions had been reduced. The qualities of the path produced are reasonably smooth, short and clear of collision.

Item Type:Citation Index Journal
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:4415
Deposited By: Dr Jafreezal Jaafar
Deposited On:18 Mar 2011 01:41
Last Modified:19 Jan 2017 08:22

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