摘要
针对人工社会系统一组同类Agent中社会传统的涌现问题,提出了复杂社会网络结构下社会传统涌现的多参数模型,该模型主要由社会权威和信任度组成。实验结果显示,该多参数模型能有效涌现社会传统。同时,还研究了Agent对社会权威和信任度在不同侧重程度及网络结构下,社会传统涌现的效率。实验结果表明:对权威的侧重程度越高,社会传统涌现的效率越高;不同的社会结构下,社会传统的涌现效率也有较大差别。
We just focus on the research of the emergence of social conventions in a group of homogeneous autonomous Agent. Using one parameter to study social conventions is used by previous works. For example, strategy is diffused from local to global by using local available information or social position. In this paper, we present two-parameter model to discuss social convention in artificial social system with sophisticated social network, which is social position and belief, respectively. The experimental results show that our model can validly emerge social conventions. At the mean time, we discuss the efficiency of the emergence of social convention at different degree of emphasis of position and belief. The experimental results show that the more emphasis on position, the faster social conventions emergence. We also study the influence of different social network structure to the emergence of social convention. The results show the social network structure makes essence to the emergence of social convention.
出处
《江南大学学报（自然科学版）》
CAS
2010年第1期30-34,共5页
Joural of Jiangnan University (Natural Science Edition)
基金
江苏省自然科学基金项目(BK2006567)
