This page lists all the publications involving at least one member in our lab as a co-author. Please visit an individual researcher’s webpage for his or her achievements.

Journal Publications

  1. Etsushi Fujita, Julien Lesca, Akihisa Sonoda, Taiki Todo, and Makoto Yokoo. A Complexity Approach for Core-Selecting Exchange under Conditionally Lexicographic Preferences. Journal of Artificial Intelligence Research (JAIR) 63: 515-555, 2018.
  2. Suguru Ueda, Atsushi Iwasaki, Vincent Conitzer, Naoki Ohta, Yuko Sakurai, and Makoto Yokoo. Coalition structure generation in cooperative games with compact representations. Autonomous Agents and Multi-Agent Systems (JAAMAS) 32(4): 503-533, 2018.
  3. Takamasa Ihara, Shunsuke Tsuruta, Taiki Todo, Yuko Sakurai, and Makoto Yokoo. Strategy-proof Cake Cutting Mechanisms for All-or-nothing Utility. Fundamenta Informaticae 158 (1-3): 41-61, 2018.
  4. Fuhito Kojima, Akihisa Tamura, and Makoto Yokoo. Designing matching mechanisms under constraints: An approach from discrete convex analysis. Journal of Economic Theory (JET) 176: 803-833, 2018.
  5. Naoto Hamada, Chia-Ling Hsu, Ryoji Kurata, Takamasa Suzuki, Suguru Ueda, and Makoto Yokoo. Strategy-proof School Choice Mechanisms with Minimum Quotas and Initial Endowments. Artificial Intelligence (AIJ) 246: 47-71, 2017.

Conference Proceedings

  1. Yuzhe Zhang, Kentaro Yahiro, Nathanael Barrot, and Makoto Yokoo. Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018), Stockholm, Sweden, July 13–19, 2018.
  2. Takamasa Suzuki, Akihisa Tamura, and Makoto Yokoo. Efficient allocation mechanism with endowments and distributional constraints. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018), Stockholm, Sweden, July 10–15, 2018.
  3. Kentaro Yahiro, Yuzhe Zhang, Nathanael Barrot, and Makoto Yokoo. Strategyproof and Fair Matching Mechanism for Ratio Constraints. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018), Stockholm, Sweden, July 10–15, 2018.
  4. Yuho Wada, Tomohiro Ono, Taiki Todo, and Makoto Yokoo. Facility Location with Variable and Dynamic Populations. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018), Stockholm, Sweden, July 10–15, 2018.
  5. Chi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, and Makoto Yokoo. Facility Location Games with Fractional Preferences. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-2018). New Orleans, Louisiana, US, February 2-7, 2018.
  6. Tomohiro Ono, Taiki Todo, and Makoto Yokoo. Rename and False-Name Manipulations in Discrete Facility Location with Optional Preferences. In Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2017), Vol.10621, 163-179, 2017.
  7. Aolong Zha, Kazuki Nomoto, Suguru Ueda, Miyuki Koshimura, Yuko Sakurai, and Makoto Yokoo. Coalition Structure Generation for Partition Function Games by Utilizing a Concise Graphical Representation, In Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2017) , Vol.10621, 143-159, 2017.
  8. Kazunori Ohta, Nathanaël Barrot, Anisse Ismaili, Yuko Sakurai, and Makoto Yokoo. Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-2017), 359-365, 2017.

Others