Analysis on the Parameters of the Evolving Artificial Agents in Sequential Bargaining Game(<Special Section>Software Agent and Its Applications)

スポンサーリンク

概要

• 論文の詳細を見る

• Over the past few years, a considerable number of studies have been conducted on modeling the bargaining game using artificial agents on within-model interaction. However, very few attempts have been made at study on the interaction and co-evolutionary process among heterogeneous artificial agents. Therefore, we present two kinds of artificial agents, based on genetic algorithm (GA) and reinforcement learning (RL), which play a game on between-model interaction. We investigate their co-evolutionary processes and analyze their parameters using the analysis of variance.

• 2005-09-01

著者

• AHN Byung-Ha

  Department of Mechatronics, K-JIST

• Ahn Byung-ha

  Department Of Mechatronics Gist

• Lee Sang-uk

  Department Of Mechatronics Gist

• CHANG Seok-Cheol

  Department of Mechatronics, GIST

• YUN Joung-Il

  Department of Mechatronics, GIST

• LEE Ju-Sang

  Department of Mechatronics, GIST

• MAHALIK Nitaigour-Premchand

  Department of Mechatronics, GIST

• Lee Ju-sang

  Department Of Mechatronics Gist

• Yun Joung-il

  Department Of Mechatronics Gist

• Mahalik Nitaigour-premchand

  Department Of Mechatronics Gist

• Chang Seok-cheol

  Department Of Mechatronics Gist

関連論文

• Real-Time Re-transmission from ATSC to OpenCable(Papers Selected from 2003 International Technical Conference on Circuits/Systems, Computers and Communications(ITC-CSCC 2003))
• Analysis on the Parameters of the Evolving Artificial Agents in Sequential Bargaining Game(Software Agent and Its Applications)
• A New Evolutionary Algorithm for Spanning-Tree Based Communication Network Design(Network)
• An agent-based approach to preliminary ship design

スポンサーリンク