entropy-22-00214.pdf

Miron Kaufman; H. T. Diep; Sanda Kaufman

doi:10.3390/e22020214

entropy-22-00214.pdf

Research output: Contribution to journal › Article › peer-review

Abstract

 We present our research on the application of statistical physics techniques to multi-group
 social conflicts. We identify real conflict situations of which the characteristics correspond to the
 model. We offer realistic assumptions about conflict behaviors that get factored into model-generated
 scenarios. The scenarios can inform conflict research and strategies for conflict management.
 We discuss model applications to two- and three-group conflicts. We identify chaotic time evolution
 of mean attitudes and the occurrence of strange attractors. We examine the role that the range of
 interactions plays with respect to the occurrence of chaotic behavior.

Original language	American English
Journal	Entropy
Volume	22
DOIs	https://doi.org/10.3390/e22020214
State	Published - Feb 2020

Keywords

social conflicts; statistical physics approach; complex systems; mean-field theory; monte carlo simulation

Disciplines

Physical Sciences and Mathematics
Social and Behavioral Sciences

Access to Document

10.3390/e22020214License: Unspecified

entropy-22-00214.pdfFinal published version, 2.12 MBLicense: Unspecified

Cite this

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title = "entropy-22-00214.pdf",

abstract = " We present our research on the application of statistical physics techniques to multi-group social conflicts. We identify real conflict situations of which the characteristics correspond to the model. We offer realistic assumptions about conflict behaviors that get factored into model-generated scenarios. The scenarios can inform conflict research and strategies for conflict management. We discuss model applications to two- and three-group conflicts. We identify chaotic time evolution of mean attitudes and the occurrence of strange attractors. We examine the role that the range of interactions plays with respect to the occurrence of chaotic behavior.",

keywords = "social conflicts; statistical physics approach; complex systems; mean-field theory; monte carlo simulation",

author = "Miron Kaufman and Diep, \{H. T.\} and Sanda Kaufman",

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volume = "22",

journal = "Entropy",

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N2 - We present our research on the application of statistical physics techniques to multi-group social conflicts. We identify real conflict situations of which the characteristics correspond to the model. We offer realistic assumptions about conflict behaviors that get factored into model-generated scenarios. The scenarios can inform conflict research and strategies for conflict management. We discuss model applications to two- and three-group conflicts. We identify chaotic time evolution of mean attitudes and the occurrence of strange attractors. We examine the role that the range of interactions plays with respect to the occurrence of chaotic behavior.

AB - We present our research on the application of statistical physics techniques to multi-group social conflicts. We identify real conflict situations of which the characteristics correspond to the model. We offer realistic assumptions about conflict behaviors that get factored into model-generated scenarios. The scenarios can inform conflict research and strategies for conflict management. We discuss model applications to two- and three-group conflicts. We identify chaotic time evolution of mean attitudes and the occurrence of strange attractors. We examine the role that the range of interactions plays with respect to the occurrence of chaotic behavior.

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DO - 10.3390/e22020214

M3 - Article

VL - 22

JO - Entropy

JF - Entropy

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