文章基本信息

标题：Computational Modelling of Trust and Social Relationships
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作者：Alistair Sutcliffe ; Di Wang
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2012
卷号：15
期号：1
页码：1-20
DOI：10.18564/jasss.1912
出版社：University of Surrey, Department of Sociology
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.
关键词：Social Agents; Social Modelling; Trust; Social Networks