We have been investigating a new behavior arbitration mechanism based on the biological immune system. The behavior arbitration mechanism and the biological immune system share certain similarities since both systems deal with various sensory inputs (antigens) through interactions among multiple competence modules (lymphocytes and/or antibodies). We 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 paper, in order to construct an appropriate immune network without human intervention, we try to incorporate an off-line metadynamics function into our previously proposed mechanism. The metadynamics function is an adaptation realized by varying the structure of the immune network. To accomplish this function, we use genetic algorithm with a devised crossover operator. Finally, we verify our method by carrying out simulations.
|Number of pages||6|
|Publication status||Published - 1998|
|Event||Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98 - Anchorage, AK, USA|
Duration: 1998 May 4 → 1998 May 9
|Conference||Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98|
|City||Anchorage, AK, USA|
|Period||98/5/4 → 98/5/9|