A Self-Organizing Cooperation for Autonomous Agents Based onImmune Network

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6

Abstract

 Abstract: In order to solve the cooperation of autonomous agent systems,an artificial immune networkcooperation algorithm is proposed,which is based on Jerne’s idiotypic immune network hypothesis. A sheepdogherding problem is taken as an example. The relative position information of dogs with the sheep and sheeppen is taken as an antigen. Dogs’ action is taken as an antibody. We calculate antibody concentration accordingto Farmer’s kinetic model. By selecting the appropriate antibody according to the antibody concentration thecooperation for autonomous agent systems can be realized. Simulation of sheep-dog herding in differentenvironment shows that a herding strategies based on immune network can not only realize sheep-dog herdingbut also be more robust and flexible, which shows the effectiveness of the artificial immune network algorithmin autonomous agents systems.

Authors and Affiliations

Guohua Zhu, Xiaobin Hua , Yi Shen, Mingxin Yuan

Keywords

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  • EP ID EP126998
  • DOI -
  • Views 122
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How To Cite

Guohua Zhu, Xiaobin Hua, Yi Shen, Mingxin Yuan (2014).  A Self-Organizing Cooperation for Autonomous Agents Based onImmune Network. IOSR Journals (IOSR Journal of Computer Engineering), 16(6), 26-31. https://europub.co.uk/articles/-A-126998