Negotiation strategy of agents in the MONOPOLY game

Yoshiaki Yasumura; Kunihiko Oguchi; Katsumi Nitta

doi:10.1109/CIRA.2001.1013210

Negotiation strategy of agents in the MONOPOLY game

Yoshiaki Yasumura, Kunihiko Oguchi, Katsumi Nitta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 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 language	English
Title of host publication	Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	277-281
Number of pages	5
Volume	2001-January
ISBN (Print)	0780372034
DOIs	https://doi.org/10.1109/CIRA.2001.1013210
Publication status	Published - 2001
Externally published	Yes
Event	IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2001 - Banff, Canada Duration: 2001 Jul 29 → 2001 Aug 1

Other

Other	IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2001
Country/Territory	Canada
City	Banff
Period	01/7/29 → 01/8/1

ASJC Scopus subject areas

Computational Mathematics

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10.1109/CIRA.2001.1013210

Cite this

Negotiation strategy of agents in the MONOPOLY game. / Yasumura, Yoshiaki; Oguchi, Kunihiko; Nitta, Katsumi.
Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA. Vol. 2001-January Institute of Electrical and Electronics Engineers Inc., 2001. p. 277-281 1013210.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 1013210, Institute of Electrical and Electronics Engineers Inc., pp. 277-281, IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2001, Banff, Canada, 01/7/29. https://doi.org/10.1109/CIRA.2001.1013210

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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.",

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booktitle = "Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA",

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AB - 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.

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BT - Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA

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ER -

Negotiation strategy of agents in the MONOPOLY game

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