Presentation 2000/1/12
Co-evolution of Multiagents via Organizational-Learning Classifier System and its Application to Marketing Simulation
Yasushi ISHIKAWA, Takao TERANO,
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Abstract(in English) This paper proposes an agent-based social simulation system with Organizational-Learning Oriented Classifier System. The system is characterized by the agents that (1)solve multi-objective problems, (2)pursue different goals, (3)form classes to behave and / or learn and (4)live in multiple environments. We report three organizational learning techniques, "Copy of other's actions" and "Copy of other's rules", that accelerate the evolution of intra-class agents, and "Intervention to other's actions" that accelerates co-evolution between different kinds of agents. We implement the system applied to "Ecological Marketing", which reveals interesting agent behaviors on the domain.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Learning Classifier System / Multiagent / Organizational Learning / Multi-objective problem / Co-evolution / Ecological Marketing
Paper # AI99-75
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Committee AI
Conference Date 2000/1/12(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) Co-evolution of Multiagents via Organizational-Learning Classifier System and its Application to Marketing Simulation
Sub Title (in English)
Keyword(1) Learning Classifier System
Keyword(2) Multiagent
Keyword(3) Organizational Learning
Keyword(4) Multi-objective problem
Keyword(5) Co-evolution
Keyword(6) Ecological Marketing
1st Author's Name Yasushi ISHIKAWA
1st Author's Affiliation Graduate School of Systems Management, the University of Tsukuba, Tokyo()
2nd Author's Name Takao TERANO
2nd Author's Affiliation Graduate School of Systems Management, the University of Tsukuba, Tokyo
Date 2000/1/12
Paper # AI99-75
Volume (vol) vol.99
Number (no) 533
Page pp.pp.-
#Pages 8
Date of Issue