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An Energy-Driven Social Behaviour Network Architecture
Mingwei Yuan, Ping Jiang, Julian Newman
77 - 85
Frontiers in Artificial Intelligence and Applications
Volume 135: Self-Organization and Autonomic Informatics (I)
Abstract

The motivation of this paper is to realize an energy-driven self-organising architecture of Social Behaviour Networks(SoBeNet) for the Web application. Internet agents can sense changes in the web environment via virtual web sensors and behavior selection is based on the energy spreading mechanism from the bottom-up paradigm of AI. There is no global coordinator module to control behavior selection and the cooperation between the two agents is implicitly. A social behavior network is formed spontaneously.

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