Using cognitive behavioral learning in multi-agent pursuit-evasion game

Jong Yih Kuo; Chien Hung Liu; Fang Wen Lee

doi:10.1109/AMS.2014.15

Using cognitive behavioral learning in multi-agent pursuit-evasion game

Jong Yih Kuo
, Chien Hung Liu
, Fang Wen Lee

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

It is a challenging problem that Multi-Agent systemmake the best response action in a dynamic environment. This study applied probabilistic theory and Piaget's schema theory to develop a cognitive behavioral learning mechanism for the pursuit-evasion game in a dynamic environment. The proposed cognitive schema is divided into two parts, one is a perceptional schema and the other is an intentional schema. According to the agent's state, intentional schema applied probabilistic theory to propose three strategies for prediction of the evader's position in a dynamic environment. Perceptional schema applied case base dreasoning to select the adequate action for the pursuitagent. When an agent faces a new situation, it might useassimilation mechanism to deal with the problem. If the currentcognitive schema cannot explain their environment, accommodation mechanism is used to adapt the cognitive schema of the agent for dealing with their problem.

Original language	English
Title of host publication	Proceedings - Asia Modelling Symposium 2014
Subtitle of host publication	8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014
Editors	Shang-Pin Ma, Jong Kuo, Chien-Hung Liu, Zuwairie Ibrahim, David Al-Dabass
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	16-20
Number of pages	5
ISBN (Electronic)	9781479964871
DOIs	https://doi.org/10.1109/AMS.2014.15
State	Published - 2 Apr 2014
Event	2014 8th Asia International Conference on Mathematical Modelling and Computer Simulation - Asia Modelling Symposium, AMS 2014 - Kuala Lumpur, Malaysia Duration: 23 Sep 2014 → 25 Sep 2014

Publication series

Name	Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014

Conference

Conference	2014 8th Asia International Conference on Mathematical Modelling and Computer Simulation - Asia Modelling Symposium, AMS 2014
Country/Territory	Malaysia
City	Kuala Lumpur
Period	23/09/14 → 25/09/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Accommodation
Assimilation
case-based reasoning
dual-schema model

Access to Document

10.1109/AMS.2014.15

Cite this

Kuo, J. Y., Liu, C. H., & Lee, F. W. (2014). Using cognitive behavioral learning in multi-agent pursuit-evasion game. In S.-P. Ma, J. Kuo, C.-H. Liu, Z. Ibrahim, & D. Al-Dabass (Eds.), Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014 (pp. 16-20). Article 7079268 (Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AMS.2014.15

Kuo, Jong Yih ; Liu, Chien Hung ; Lee, Fang Wen. / Using cognitive behavioral learning in multi-agent pursuit-evasion game. Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014. editor / Shang-Pin Ma ; Jong Kuo ; Chien-Hung Liu ; Zuwairie Ibrahim ; David Al-Dabass. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 16-20 (Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014).

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abstract = "It is a challenging problem that Multi-Agent systemmake the best response action in a dynamic environment. This study applied probabilistic theory and Piaget's schema theory to develop a cognitive behavioral learning mechanism for the pursuit-evasion game in a dynamic environment. The proposed cognitive schema is divided into two parts, one is a perceptional schema and the other is an intentional schema. According to the agent's state, intentional schema applied probabilistic theory to propose three strategies for prediction of the evader's position in a dynamic environment. Perceptional schema applied case base dreasoning to select the adequate action for the pursuitagent. When an agent faces a new situation, it might useassimilation mechanism to deal with the problem. If the currentcognitive schema cannot explain their environment, accommodation mechanism is used to adapt the cognitive schema of the agent for dealing with their problem.",

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Kuo, JY , Liu, CH & Lee, FW 2014, Using cognitive behavioral learning in multi-agent pursuit-evasion game. in S-P Ma, J Kuo, C-H Liu, Z Ibrahim & D Al-Dabass (eds), Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014., 7079268, Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014, Institute of Electrical and Electronics Engineers Inc., pp. 16-20, 2014 8th Asia International Conference on Mathematical Modelling and Computer Simulation - Asia Modelling Symposium, AMS 2014, Kuala Lumpur, Malaysia, 23/09/14. https://doi.org/10.1109/AMS.2014.15

Using cognitive behavioral learning in multi-agent pursuit-evasion game. / Kuo, Jong Yih ; Liu, Chien Hung; Lee, Fang Wen.
Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014. ed. / Shang-Pin Ma; Jong Kuo; Chien-Hung Liu; Zuwairie Ibrahim; David Al-Dabass. Institute of Electrical and Electronics Engineers Inc., 2014. p. 16-20 7079268 (Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kuo JY , Liu CH, Lee FW. Using cognitive behavioral learning in multi-agent pursuit-evasion game. In Ma SP, Kuo J, Liu CH, Ibrahim Z, Al-Dabass D, editors, Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 16-20. 7079268. (Proceedings - Asia Modelling Symposium 2014: 8th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2014). doi: 10.1109/AMS.2014.15

Using cognitive behavioral learning in multi-agent pursuit-evasion game

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Keywords

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