TY - CHAP
T1 - Collective behaviors
T2 - Systemic view of distinct forces in a new framework
AU - Vesaghi, Arash
AU - Khansari, Nasrin
AU - Mansouri, Mo
N1 - Publisher Copyright:
© Springer International Publishing AG 2018. All rights are reserved.
PY - 2017/11/24
Y1 - 2017/11/24
N2 - Investigating emergence properties of complex adaptive systems has received a great deal of attention since Schelling's model of segregation and Granovetter's threshold model on opinion dynamics. In the past 50 years, the notion of consensus as emerging characteristic has been studied in different disciplines such as sociology, psychology, economics, systems engineering, and physics. Different models have been proposed to explain and examine the collective behaviors. The topic is mostly discussed as social phenomenon, and opinion dynamic models are the foundation to explain consensus. Thus, identifying underlying mechanisms is a common concern. Despite extensive literature, absence of unified framework to consolidate these studies is clear. Here, a short review of existing literature and proposed framework is presented to assist with binding these studies. The proposed framework classifies three independent forces: (1) External, (2) Network, and (3) Memory. Measuring influence of these forces in some cases is hard; nevertheless, the appreciation of distinct processes is valuable for decisionmakers. Each force should be activated or countered accordingly.
AB - Investigating emergence properties of complex adaptive systems has received a great deal of attention since Schelling's model of segregation and Granovetter's threshold model on opinion dynamics. In the past 50 years, the notion of consensus as emerging characteristic has been studied in different disciplines such as sociology, psychology, economics, systems engineering, and physics. Different models have been proposed to explain and examine the collective behaviors. The topic is mostly discussed as social phenomenon, and opinion dynamic models are the foundation to explain consensus. Thus, identifying underlying mechanisms is a common concern. Despite extensive literature, absence of unified framework to consolidate these studies is clear. Here, a short review of existing literature and proposed framework is presented to assist with binding these studies. The proposed framework classifies three independent forces: (1) External, (2) Network, and (3) Memory. Measuring influence of these forces in some cases is hard; nevertheless, the appreciation of distinct processes is valuable for decisionmakers. Each force should be activated or countered accordingly.
KW - Collective behavior
KW - Complex adaptive systems
KW - Decision-making
KW - Network effects
KW - Network externalities
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U2 - 10.1007/978-3-319-62217-0_51
DO - 10.1007/978-3-319-62217-0_51
M3 - Chapter
AN - SCOPUS:85055190343
SN - 9783319622163
SP - 741
EP - 749
BT - Disciplinary Convergence in Systems Engineering Research
ER -