Negotiation strategy of agents in the MONOPOLY game

Yoshiaki Yasumura, Kunihiko Oguchi, Katsumi Nitta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, We discuss negotiation strategy of agents that play the board game MONOPOLY. First, we developed MONOPOLY server for the purpose of making agents confront on network and a MONOPOLY agent which negotiates with the other agents. Its negotiation strategy is based on a game theory using an evaluation function. This function includes pattern of color groups, money and position of tokens. The agent compares the proposal candidates for trading by using this function and selects the best one. Finally, the experimental results show that this agent system can be benchmark for studying negotiation strategy.

Original languageEnglish
Title of host publicationProceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages277-281
Number of pages5
Volume2001-January
ISBN (Print)0780372034
DOIs
Publication statusPublished - 2001
Externally publishedYes
EventIEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2001 - Banff, Canada
Duration: 2001 Jul 292001 Aug 1

Other

OtherIEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2001
CountryCanada
CityBanff
Period01/7/2901/8/1

ASJC Scopus subject areas

  • Computational Mathematics

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  • Cite this

    Yasumura, Y., Oguchi, K., & Nitta, K. (2001). Negotiation strategy of agents in the MONOPOLY game. In Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA (Vol. 2001-January, pp. 277-281). [1013210] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIRA.2001.1013210