Particle Swarm Social Model for Group Social Learning in Adaptive Environment

Book · Tue Jan 01 00:00:00 EST 2008

OSTI ID:936803

Cui, Xiaohui ^[1]; Potok, Thomas E ^[1]; Treadwell, Jim N ^[1]; Patton, Robert M ^[1]; Pullum, Laura L ^[1]

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1. ORNL

This report presents a study of integrating particle swarm algorithm, social knowledge adaptation and multi-agent approaches for modeling the social learning of self-organized groups and their collective searching behavior in an adaptive environment. The objective of this research is to apply the particle swarm metaphor as a model of social learning for a dynamic environment. The research provides a platform for understanding and insights into knowledge discovery and strategic search in human self-organized social groups, such as insurgents or online communities.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: Work for Others (WFO)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 936803
• Country of Publication: United States
• Language: English

Related Subjects

97
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
SOCIOLOGY
SOCIAL IMPACT
COMMUNITIES
LEARNING
ALGORITHMS
DYNAMICS