最佳显著性理论
计算机科学
基于Agent的模型
发展理论
认知心理学
心理学
管理科学
认知科学
人工智能
社会心理学
市场经济
经济
作者
Paul E. Smaldino,Jimmy Calanchini,Cynthia L. Pickett
标识
DOI:10.1177/2041386614546944
摘要
Many social phenomena do not result solely from intentional actions by isolated individuals, but rather emerge as the result of repeated interactions among multiple individuals over time. However, such phenomena are often poorly captured by traditional empirical techniques. Moreover, complex adaptive systems are insufficiently described by verbal models. In this paper, we discuss how organizational psychologists and group dynamics researchers may benefit from the adoption of formal modeling, particularly agent-based modeling, for developing and testing richer theories. Agent-based modeling is well suited to capture multilevel dynamic processes and offers superior precision to verbal models. As an example, we present a model of social identity dynamics used to test the predictions of Brewer’s (1991) optimal distinctiveness theory, and discuss how the model extends the theory and produces novel research questions. We close with a general discussion on theory development using agent-based models.
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