Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation
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 whic...
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Universiti Tenaga Nasional, Malaysia
2011
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my.utp.eprints.44152017-01-19T08:22:57Z Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation Jaafar, J. McKenzie, E. QA75 Electronic computers. Computer science QA76 Computer software 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. Universiti Tenaga Nasional, Malaysia 2011-02-25 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/4415/1/46 http://ejcsit.uniten.edu.my/index.php/eJCSIT/index Jaafar, J. and McKenzie, E. (2011) Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation. [Citation Index Journal] http://eprints.utp.edu.my/4415/ |
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QA75 Electronic computers. Computer science QA76 Computer software Jaafar, J. McKenzie, E. Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation |
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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. |
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Citation Index Journal |
author |
Jaafar, J. McKenzie, E. |
author_facet |
Jaafar, J. McKenzie, E. |
author_sort |
Jaafar, J. |
title |
Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation |
title_short |
Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation |
title_full |
Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation |
title_fullStr |
Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation |
title_full_unstemmed |
Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation |
title_sort |
decision making method using fuzzy logic for autonomous agent navigation |
publisher |
Universiti Tenaga Nasional, Malaysia |
publishDate |
2011 |
url |
http://eprints.utp.edu.my/4415/1/46 http://ejcsit.uniten.edu.my/index.php/eJCSIT/index http://eprints.utp.edu.my/4415/ |
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1738655338523000832 |
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13.211869 |