DocumentCode :
677604
Title :
An agent-based simulation study of a complex adaptive collaboration network
Author :
Ozmen, Ozgur ; Smith, Johan ; Yilmaz, Levent
Author_Institution :
Comput. Sci. & Eng. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
412
Lastpage :
423
Abstract :
One of the most significant problems in organizational scholarship is to discern how social collectives govern, organize, and coordinate the actions of individuals to achieve collective outcomes. The collectives are usually interpreted as complex adaptive systems (CAS). The understanding of CAS is more likely to arise with the help of computer-based simulations. In this tutorial, using agent-based modeling approach, a complex adaptive social communication network model is introduced. The objective is to present the underlying dynamics of the system in a form of computer simulation that enables analyzing the impacts of various mechanisms on network topologies and emergent behaviors. The ultimate goal is to further our understanding of the dynamics in the system and facilitate developing informed policies for decision-makers.
Keywords :
decision making; groupware; large-scale systems; multi-agent systems; network topology; social networking (online); CAS; agent-based modeling approach; agent-based simulation; complex adaptive collaboration network; complex adaptive social communication network model; complex adaptive systems; computer-based simulation; decision making; network topology; organizational scholarship; Adaptation models; Adaptive systems; Collaboration; Computational modeling; Global Positioning System; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), 2013 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-2077-8
Type :
conf
DOI :
10.1109/WSC.2013.6721438
Filename :
6721438
Link To Document :
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