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Individual Irrationality, Network Structure, and Collective Intelligence: An Agent-based Simulation Approach

机译:个人非理性,网络结构和集体智慧:基于代理的模拟方法

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摘要

An agent-based model is constructed to study the effects of individual irrationality and network structure on collective performance. We find that individual irrationality and network density are the most influential factors. Moderate degree of irrationality results in moderate knowledge unity and superior quality of knowledge; increasing network connections or decreasing average path length (APL) can promote quality of knowledge integration and knowledge unity. Furthermore, APL is more influential than clustering coefficient and centralization (CE). Less clustering may contribute to higher quality of knowledge integration, while higher CE may contribute to higher knowledge unity. (C) 2015 Wiley Periodicals, Inc.
机译:构建基于主体的模型来研究个体非理性和网络结构对集体绩效的影响。我们发现个人的非理性和网络密度是最有影响力的因素。适度的非理性导致适度的知识统一和卓越的知识质量;增加网络连接或减少平均路径长度(APL)可以提高知识整合和知识统一的质量。此外,APL比聚类系数和集中化(CE)更具影响力。较少的群集可能有助于提高知识集成的质量,而较高的CE可能有助于提高知识的统一性。 (C)2015年Wiley Periodicals,Inc.

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