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研究成果

論文誌

  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), to appear.
  2. 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, 246: 47-71, 2017.

国際会議プロシーディングス

  1. Takamasa Suzuki, Akihisa Tamura, and Makoto Yokoo. Efficient allocation mechanism with endowments and distributional constraints. To appear in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018), Stockholm, Sweden, July 10–15, 2018.
  2. Kentaro Yahiro, Yuzhe Zhang, Nathanael Barrot, and Makoto Yokoo. Strategyproof and fair matching mechanism for ratio constraints. To appear in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018), Stockholm, Sweden, July 10–15, 2018.
  3. Yuho Wada, Tomohiro Ono, Taiki Todo, and Makoto Yokoo. Facility Location with Variable and Dynamic Populations. To appear in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018), Stockholm, Sweden, July 10–15, 2018.
  4. 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.
  5. 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.
  6. 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.
  7. 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.

招待講演

  1. 横尾真,「マーケットデザイン:ゲーム理論による社会制度の設計」,第22回日本糖尿病教育・看護学会学術集会,特別講演, 福岡国際会議場(福岡県福岡市), 2017/9/17.

その他(国際会議発表など)

  1. Ilan Nehama, Taiki Todo, and Makoto Yokoo. Manipulation-resistant facility location mechanisms for ZV-line graphs. Seventh International Workshop on Computational Social Choice (COMSOC-2018). Troy, NY, USA. June 25-27, 2018
  2. Ilan Nehama, Taiki Todo, and Makoto Yokoo. Manipulation-resistant facility location mechanisms for ZV-line graphs. The 14th Meeting of the Society for Social Choice and Welfare. June 14-17, 2018
  3. Yuho Wada, Tomohiro Ono, Taiki Todo, and Makoto Yokoo. Facility Location with Variable and Dynamic Populations. The 11th Multidisciplinary Workshop on Advances in Preference Handling (MPREF-2018). New Orleans, US. February 2018.
  4. Kota Shigedomi, Fuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, and Makoto Yokoo. Sustaining Circular Cooperation with Observation Errors. The Third IJCAI Algorithmic Game Theory Workshop (AGT2017). 2017.

お問合せ先

九州大学大学院
システム情報科学府
マルチエージェント研究室
todo@inf.kyushu-u.ac.jp
Tel: 092-802-3576