A Self-Organizing Cooperation for Autonomous Agents Based on Immune Network
نویسندگان
چکیده
Abstract: In order to solve the cooperation of autonomous agent systems,an artificial immune network cooperation algorithm is proposed,which is based on Jerne’s idiotypic immune network hypothesis. A sheepdog herding problem is taken as an example. The relative position information of dogs with the sheep and sheep pen is taken as an antigen. Dogs’ action is taken as an antibody. We calculate antibody concentration according to Farmer’s kinetic model. By selecting the appropriate antibody according to the antibody concentration the cooperation for autonomous agent systems can be realized. Simulation of sheep-dog herding in different environment shows that a herding strategies based on immune network can not only realize sheep-dog herding but also be more robust and flexible, which shows the effectiveness of the artificial immune network algorithm in autonomous agents systems.
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