文章基本信息

标题：An Agent-Based Model of an Online Collaboration Community by using Fuzzy Logic
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作者：Ertug Olcay ; Claus Schöttl ; Ans Khalid 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：13
页码：665-670
DOI：10.1016/j.ifacol.2019.11.121
语种：English
出版社：Elsevier
摘要：Manufacturing companies increasingly use online collaboration communities to generate ideas and solutions. This paper suggests a modeling approach for such an online community. It analyzes the task solving behavior and the evolution of its average commitment level. Communities are influenced by many attributes such as individual demands, skills, and activities of members. Due to this heterogeneity the modeling of such a system is not a simple task. The agent-based model helps to predict system behavior and proposes measures for online community management. Agent-based models help to analyze theories and perspectives regarding social systems. In this study, we design the dynamics of a conceptual online collaboration community by combining the agent-based modeling technique with fuzzy logic. We model an interesting phenomenon in an online community from a dynamic perspective.
关键词：KeywordsOnline collaboration communitiesAgent-based modelingComplex systemsFuzzy logic