| Autor: |
Huan Liu, Salerno, John J., Young, Michael J., Xiaohui Cui, Pullum, Laura L., Treadwell, Jim, Patton, Robert M., Potok, Thomas E. |
| Zdroj: |
Social Computing, Behavioral Modeling & Prediction; 2008, p141-150, 10p |
| Abstrakt: |
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 human communities. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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