模倣と多様性維持による社会的適応アルゴリズム

―スクランブル交差点シミュレーションにおける適応性評価―

抄録

The paper addresses a social cooperation algorithm for swarm systems through scramble crossing simulation. In order to facilitate scramble crossing simulation, an appropriate balance between egoistic and altruistic behaviors is required. In this study, weight parameters for egoistic and altruistic behaviors are represented as individual strategies corresponding to personality. The proposed social coordination algorithm is based on imitating the strategies of other agents that show high performance while including appropriate noise. Finally, the effectiveness of the social cooperation algorithm in scramble crossing simulation is verified by flow rate as the global performance for varying agent density.