Computational Modelling of Trust and Social Relationships

被引:0
作者
Sutcliffe, Alistair
Wang, Di
机构
来源
JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION | 2012年 / 15卷 / 01期
关键词
Social Agents; Social Modelling; Trust; Social Networks; EVOLUTION; NETWORKS; RECIPROCITY; REPUTATION; SIZE;
D O I
暂无
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
A computational model for the development of social relationships is described. The model implements agent strategies for social interaction based on Dunbar's Social Brain Hypothesis (SBH). A trust related process controls the formation and decay of relationships as a function of interaction frequency, the history of interaction, and the agents' strategies. A good fit the SBH predictions was found across a range of model parameter settings, which varied the waning rate of trust, defect/cooperation rates for agents, and linear/log functions for trust increase and decay. Social interaction strategies which favour interacting with existing strong ties or a time variant strategy produced more SBH conformant results than strategies favour more weaker relationships. The prospects for modeling the emergence of social relationships are discussed.
引用
收藏
页数:19
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