EMERGENT CONSTRUCTION OF A BEHAVIOR ARBITRATION MECHANISM-BASED ON THE IMMUNE-SYSTEM

We have been investigating a new behavior arbitration mechanism based on the biological immune system. The behavior arbitration mechanism an d the biological immune system share certain similarities since both s ystems deal with various sensory inputs (antigens) through interaction s among multiple competence modules (lymphocytes and/or antibodies). W e have demonstrated the flexible arbitration abilities of our proposed method; however, we have not shown a solution to the problem: how do we prepare an appropriate repertoire of competence modules? In this pa per, in order to construct an appropriate immune network without human intervention, we try to incorporate an offline metadynamics function into our previously proposed mechanism. The metadynamics function is a n adaptation realized by varying the structure of the immune network. To accomplish this function, we use a genetic algorithm with a devised crossover operator. Finally, we verify our method by carrying out sim ulations.