本研究室のメンバーが著者となった論文を掲載していきます。メンバー個別の業績については、個人のページをご参照下さい。

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. 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.

国際会議プロシーディングス

  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. Julien Lesca and Taiki Todo. Service Exchange Problem. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018), Stockholm, Sweden, July 13–19, 2018.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.

国内会議

  1. 大田 一徳,Nathanael Barrot,櫻井 祐子,横尾 真.エージェントの社会性を考慮したヘドニックゲーム.第32回人工知能全国大会 (JSAI-2018).
  2. 張 語哲,八尋 健太郎,Nathanael Barrot,横尾 真.対称性を満たすM凸集合の和集合で表現される制約を扱うマッチングメカニズムの提案.第32回人工知能全国大会 (JSAI-2018).
  3. 大田 一徳,櫻井 祐子,横尾 真.ヘドニックゲームの新たな選好モデルにおけるコア安定性の一考察.合同エージェントワークショップ&シンポジウム2017 (JAWS-2017).
  4. 和田 勇歩,小野 友寛,東藤 大樹,横尾 真.変動的人口モデルにおける耐戦略的な施設配置メカニズム.第16回情報科学技術フォーラム (FIT-2017).
  5. 大田 一徳,櫻井 祐子,横尾 真.ヘドニックゲームにおける新たな選好モデルの提案とコア安定性の解析.第31回人工知能全国大会 (JSAI-2017).
  6. 重冨 孝太,重中 風奎,岩崎 敦,関口 格,横尾 真.私的観測付き繰り返しゲームの三角取引モデルにおける均衡解析.第31回人工知能全国大会 (JSAI-2017).
  7. 八尋 健太郎,濱田 直斗,鈴木 貴晶,櫻井 祐子,横尾 真.相対的制約を扱うマッチングメカニズムの提案と評価.第31回人工知能全国大会 (JSAI-2017).
  8. 山口 知晃,張 語哲,濱田 直斗,鈴木 貴晶,横尾 真.下限制約と初期保有財を考慮した学校選択メカニズムの特徴付け.第31回人工知能全国大会 (JSAI-2017).
  9. 和田 勇歩,小野 友寛,富永 優仁,東藤 大樹,横尾 真.2次元格子空間上の施設配置問題におけるパレート効率性の考察.第31回人工知能全国大会 (JSAI-2017).
  10. 越村 三幸,査 澳龍,野本 一貴,櫻井 祐子,横尾 真.分割関数ゲームを対象とした提携構造形成問題のMaxSAT符号化.第31回人工知能全国大会 (JSAI-2017).