A compact multiagent system based on autonomy oriented computing

Xiao Feng Xie; Jiming LIU

doi:10.1109/IAT.2005.6

A compact multiagent system based on autonomy oriented computing

Xiao Feng Xie^*, Jiming LIU

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

9 Citations (Scopus)

Abstract

A compact multiagent optimization system (MAOS_C) based on autonomy oriented computing (AOC) is presented. Performed by a society of autonomous entities in iterative cycles, an optimization algorithm can simply be described by a macro generate-and-test behavior, which deploys a few elemental generating behaviors under conditioned reflex behaviors supported by a testing operation library. MAOS_C provides a simple framework for not only realizing and comparing algorithms, but also deploying evolvable algorithms. The experimental results of MAOS_C cases on benchmark functions are compared with those of other algorithms, which show its efficiency.

Original language	English
Title of host publication	Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
Pages	38-44
Number of pages	7
DOIs	https://doi.org/10.1109/IAT.2005.6
Publication status	Published - 2005
Event	2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - France, France Duration: 19 Sept 2005 → 22 Sept 2005

Publication series

Name	Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
Volume	2005

Conference

Conference	2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Country/Territory	France
City	France
Period	19/09/05 → 22/09/05

Scopus Subject Areas

Engineering(all)

Access to Document

10.1109/IAT.2005.6

Cite this

Xie, X. F., & LIU, J. (2005). A compact multiagent system based on autonomy oriented computing. In Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05 (pp. 38-44). Article 1565508 (Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05; Vol. 2005). https://doi.org/10.1109/IAT.2005.6

@inproceedings{974e2a4875c54696a5502123a77fd03a,

title = "A compact multiagent system based on autonomy oriented computing",

abstract = "A compact multiagent optimization system (MAOSC) based on autonomy oriented computing (AOC) is presented. Performed by a society of autonomous entities in iterative cycles, an optimization algorithm can simply be described by a macro generate-and-test behavior, which deploys a few elemental generating behaviors under conditioned reflex behaviors supported by a testing operation library. MAOSC provides a simple framework for not only realizing and comparing algorithms, but also deploying evolvable algorithms. The experimental results of MAOSC cases on benchmark functions are compared with those of other algorithms, which show its efficiency.",

author = "Xie, {Xiao Feng} and Jiming LIU",

year = "2005",

doi = "10.1109/IAT.2005.6",

language = "English",

isbn = "0769524168",

series = "Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05",

pages = "38--44",

booktitle = "Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05",

}

Xie, XF & LIU, J 2005, A compact multiagent system based on autonomy oriented computing. in Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05., 1565508, Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05, vol. 2005, pp. 38-44, 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, France, France, 19/09/05. https://doi.org/10.1109/IAT.2005.6

A compact multiagent system based on autonomy oriented computing. / Xie, Xiao Feng; LIU, Jiming.
Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05. 2005. p. 38-44 1565508 (Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05; Vol. 2005).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AB - A compact multiagent optimization system (MAOSC) based on autonomy oriented computing (AOC) is presented. Performed by a society of autonomous entities in iterative cycles, an optimization algorithm can simply be described by a macro generate-and-test behavior, which deploys a few elemental generating behaviors under conditioned reflex behaviors supported by a testing operation library. MAOSC provides a simple framework for not only realizing and comparing algorithms, but also deploying evolvable algorithms. The experimental results of MAOSC cases on benchmark functions are compared with those of other algorithms, which show its efficiency.

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A compact multiagent system based on autonomy oriented computing

Abstract

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