Individual Irrationality, Network Structure, and Collective Intelligence: An Agent-based Simulation Approach
Authored by Bo Xu, Renjing Liu, Zhengwen He
Date Published: 2016
DOI: 10.1002/cplx.21709
Sponsors:
Chinese National Natural Science Foundation
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
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.
Tags
Performance
Innovation
Collaboration
knowledge
Heterogeneity
Exploitation
Exploration
Consensus
Organizations
Computer-simulation