Presentation 2012-03-13
Emergent Group Formation by Multiplexed Dynamic Immune Network
Motoyoshi YAMAHO, Satoshi MATSUDA,
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Abstract(in English) Based on the assumption that human behaviors is determined by interactions of several inducement, we have modeled the behavior arbitration mechanism with the biological immune system. Particularly, by focusing on an emergent feature of the idiotypic network, we have built a dynamic idiotypic network, which reconstructs itself as the generation and elimination of antibodies and changes stimulation and inhibitation flows, and applied it to a multi-agents system. And then we have tried to apply the dynamic idiotypic network to entertainment application by employing an antigen as conversations with users through rhythm and an antibody as their reactions. In the present study, we have shown that the cooperation of simple behaviors is emerged among the agents, and then by multiplexing which supplies the outputs of individual networks to the global network, small social groups like bon dance are formed and some behaviors propagate among them.
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Keyword(in English) Emergence / Idiotypic Network / Entertainment Multi-Agents
Paper # AI2011-44
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Committee AI
Conference Date 2012/3/6(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Emergent Group Formation by Multiplexed Dynamic Immune Network
Sub Title (in English)
Keyword(1) Emergence
Keyword(2) Idiotypic Network
Keyword(3) Entertainment Multi-Agents
1st Author's Name Motoyoshi YAMAHO
1st Author's Affiliation Graduate School of Industrial Technology, Nihon University()
2nd Author's Name Satoshi MATSUDA
2nd Author's Affiliation College of Industrial Technology, Nihon University
Date 2012-03-13
Paper # AI2011-44
Volume (vol) vol.111
Number (no) 474
Page pp.pp.-
#Pages 6
Date of Issue