Presentation 2010-09-28
A Methodology of Multi-agent Systems introducing Human Subject Experiments to Analyze Social Interactions
Nariaki NISHINO, Sobei H. ODA, Kanji UEDA,
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Abstract(in English) This paper proposes a methodology of multi-agent systems to analyze social interactions. Social systems generally comprise several types of autonomous agents. Accordingly, global behavior emerges through their local interactions and consequently social value is created by such emergent process. To analyze such social interactions, we propose an integrated approach with multi-agent simulation and human subjects experiments which is based on the methodology of experimental economics. Using research examples, this paper discusses its validity and usefulness.
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Keyword(in English) Multi-agent / Experimental economics / Experiments with human subjects / Emergence
Paper # AI2010-26
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Committee AI
Conference Date 2010/9/21(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) A Methodology of Multi-agent Systems introducing Human Subject Experiments to Analyze Social Interactions
Sub Title (in English)
Keyword(1) Multi-agent
Keyword(2) Experimental economics
Keyword(3) Experiments with human subjects
Keyword(4) Emergence
1st Author's Name Nariaki NISHINO
1st Author's Affiliation School of Engineering, The University of Tokyo()
2nd Author's Name Sobei H. ODA
2nd Author's Affiliation Faculty of Economics, Kyoto Sangyo University
3rd Author's Name Kanji UEDA
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
Date 2010-09-28
Paper # AI2010-26
Volume (vol) vol.110
Number (no) 212
Page pp.pp.-
#Pages 6
Date of Issue