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Title: Modeling the Collective Strategic Searching of Artificial Insurgent Groups: A Particle Swarm Approach

Abstract

A swarm based social adaptive model is proposed to model multiple insurgent groups?strategy searching in a dynamic changed environment. This report presents a pilot study on using the particle swarm modeling, a widely used non-linear optimal tool, to model the emergence of insurgency campaign. The objective of this research is to apply the particle swarm metaphor as a model of insurgent social adaptation for the dynamic environment and to provide insight and understanding of insurgent group strategic adaptation.

Authors:
 [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Work for Others (WFO)
OSTI Identifier:
932621
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Annual Conference of the North American Association for Computational Social and Organizational Sciences, Atlanta, GA, USA, 20070607, 20070609
Country of Publication:
United States
Language:
English
Subject:
97; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; COMPUTERIZED SIMULATION; NONLINEAR PROBLEMS; SABOTAGE

Citation Formats

Cui, Xiaohui, and Potok, Thomas E. Modeling the Collective Strategic Searching of Artificial Insurgent Groups: A Particle Swarm Approach. United States: N. p., 2007. Web.
Cui, Xiaohui, & Potok, Thomas E. Modeling the Collective Strategic Searching of Artificial Insurgent Groups: A Particle Swarm Approach. United States.
Cui, Xiaohui, and Potok, Thomas E. Mon . "Modeling the Collective Strategic Searching of Artificial Insurgent Groups: A Particle Swarm Approach". United States. doi:.
@article{osti_932621,
title = {Modeling the Collective Strategic Searching of Artificial Insurgent Groups: A Particle Swarm Approach},
author = {Cui, Xiaohui and Potok, Thomas E},
abstractNote = {A swarm based social adaptive model is proposed to model multiple insurgent groups?strategy searching in a dynamic changed environment. This report presents a pilot study on using the particle swarm modeling, a widely used non-linear optimal tool, to model the emergence of insurgency campaign. The objective of this research is to apply the particle swarm metaphor as a model of insurgent social adaptation for the dynamic environment and to provide insight and understanding of insurgent group strategic adaptation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2007},
month = {Mon Jan 01 00:00:00 EST 2007}
}

Conference:
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  • This report presents a pilot study of an integration of particle swarm algorithm, social knowledge adaptation and multi-agent approaches for modeling the collective search behavior of self-organized groups in an adaptive environment. The objective of this research is to apply the particle swarm metaphor as a model of social group adaptation for the dynamic environment and to provide insight and understanding of social group knowledge discovering and strategic searching. A new adaptive environment model, which dynamically reacts to the group collective searching behaviors, is proposed in this research. The simulations in the research indicate that effective communication between groups ismore » not the necessary requirement for whole self-organized groups to achieve the efficient collective searching behavior in the adaptive environment.« less
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