Repeated triangular trade: Sustaining circular cooperation with observation errors

Kota Shigedomi, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo

研究成果: Chapter in Book/Report/Conference proceedingConference contribution


We introduce a new fundamental problem called triangular trade, which is a natural extension of the well-studied prisoner’s dilemma for three (or more) players where a player cannot directly punish a seemingly defecting player. More specifically, this problem deals with a situation where the power/influence of players is one-way, players would be better off if they maintain circular cooperation, but each player has an incentive to defect. We analyze whether players can sustain such circular cooperation when they repeatedly play this game and each player observes the actions of another player with some observation errors (imperfect private monitoring). We confirm that no simple strategy can constitute an equilibrium within any reasonable parameter settings when there are only two actions: “Cooperate” and “Defect.” Thus, we introduce two additional actions: “Whistle” and “Punish,” which can be considered as a slight modification of “Cooperate.” Then, players can achieve sustainable cooperation using a simple strategy called Remote Punishment strategy (RP), which constitutes an equilibrium for a wide range of parameters. Furthermore, we show the payoff obtained by a variant of RP is optimal within a very general class of strategies that covers virtually all meaningful strategies.

ホスト出版物のタイトルPRIMA 2018
ホスト出版物のサブタイトルPrinciples and Practice of Multi-Agent Systems - 21st International Conference, 2018, Proceedings
編集者Nir Oren, Yuko Sakurai, Itsuki Noda, Tran Cao Son, Tim Miller, Bastin Tony Savarimuthu
出版社Springer Verlag
出版ステータス出版済み - 2018
イベント21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018 - Tokyo, 日本
継続期間: 10 29 201811 2 2018


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11224 LNAI


その他21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)


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