Presentation 2003/7/25
ORGANIZATIONAL BEHAVIORS AND COMPLEX ADAPTIVE SYSTEMS : FROM ARTIFICIAL INTELLIGENCE TO COLLECTIVE INTELLIGENCE
Takao Terano,
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Abstract(in English) Recent progress of computer technology makes it possible to analyze social and economics systems via simulation studies. Among them, agent-based models are promising: we are able to make social sciences operational, communicable, and experimental This paper describes the state of the art of agent-based approach to simulate social and economic complex systems. The approach is characterized by software agents with individual internal models, their interactions in a given environment, and the micro- and macro links among the individual behaviors and social phenomena. Using agent-based simulation, thus, we are able to analyze complex phenomena in the real world, which is difficult to understand via the other approaches. This paper examines the literature, compares the model with traditional ones, explains some of our recent results, and explores the future perspectives.
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Keyword(in English) Complex Adaptive Systems / Organizational Behaviors / Agent-Based Modeling / Evolutionary Computetion / Social Simulation
Paper # AI2003-24
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Committee AI
Conference Date 2003/7/25(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) ORGANIZATIONAL BEHAVIORS AND COMPLEX ADAPTIVE SYSTEMS : FROM ARTIFICIAL INTELLIGENCE TO COLLECTIVE INTELLIGENCE
Sub Title (in English)
Keyword(1) Complex Adaptive Systems
Keyword(2) Organizational Behaviors
Keyword(3) Agent-Based Modeling
Keyword(4) Evolutionary Computetion
Keyword(5) Social Simulation
1st Author's Name Takao Terano
1st Author's Affiliation Graduate School of Business Sciences, University of Tsukuba()
Date 2003/7/25
Paper # AI2003-24
Volume (vol) vol.103
Number (no) 244
Page pp.pp.-
#Pages 6
Date of Issue