{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T03:09:21Z","timestamp":1771038561780,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T00:00:00Z","timestamp":1569369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,9,25]]},"DOI":"10.1145\/3349537.3352771","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T14:08:52Z","timestamp":1569938932000},"page":"220-222","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Design of Cooperative Interaction between Humans and AI Creatures through Reinforcement Learning"],"prefix":"10.1145","author":[{"given":"Ryosuke","family":"Takata","sequence":"first","affiliation":[{"name":"Shizuoka University, Hamamatsu, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yugo","family":"Takeuchi","sequence":"additional","affiliation":[{"name":"Shizuoka University, Hamamatsu, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,9,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Mastering the Game of Go with Deep Neural Networks and Tree Search. Nature","volume":"529","author":"David","year":"2016","unstructured":"David Silver et al. 2016a . Mastering the Game of Go with Deep Neural Networks and Tree Search. Nature , Vol. 529 ( Jan. 2016 ), 484--503. https:\/\/doi.org\/10.1038\/nature16961 10.1038\/nature16961 David Silver et al. 2016a. Mastering the Game of Go with Deep Neural Networks and Tree Search. Nature , Vol. 529 (Jan. 2016), 484--503. https:\/\/doi.org\/10.1038\/nature16961"},{"key":"e_1_3_2_1_2_1","volume-title":"Christiano et al","author":"Paul","year":"2017","unstructured":"Paul F. Christiano et al . 2017 . Deep Reinforcement Learning from Human Preferences. Advances in Neural Information Processing Systems (Dec . 2017), 4302--4310. Paul F. Christiano et al. 2017. Deep Reinforcement Learning from Human Preferences. Advances in Neural Information Processing Systems (Dec. 2017), 4302--4310."},{"key":"e_1_3_2_1_3_1","unstructured":"Volodymyr Mnih et al. 2013. Playing Atari with Deep Reinforcement Learning. Advances in Neural Information Processing Systems (Dec. 2013) 1--9.  Volodymyr Mnih et al. 2013. Playing Atari with Deep Reinforcement Learning. Advances in Neural Information Processing Systems (Dec. 2013) 1--9."},{"key":"e_1_3_2_1_4_1","volume-title":"Asynchronous Methods for Deep Reinforcement Learning. International Conference on Machine Learning","volume":"48","author":"Volodymyr","year":"2016","unstructured":"Volodymyr Mnih et al. 2016b . Asynchronous Methods for Deep Reinforcement Learning. International Conference on Machine Learning , Vol. 48 ( June 2016 ), 1928--1937. Volodymyr Mnih et al. 2016b. Asynchronous Methods for Deep Reinforcement Learning. International Conference on Machine Learning , Vol. 48 (June 2016), 1928--1937."},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of Second European Cognitive Science Conference (May","author":"Yugo","year":"2007","unstructured":"Yugo Nagata et al. 2007. Computational model of cooperative behavior: Adaptive regulation of goals and behavior . Proceedings of Second European Cognitive Science Conference (May 2007 ), 202--207. Yugo Nagata et al. 2007. Computational model of cooperative behavior: Adaptive regulation of goals and behavior. Proceedings of Second European Cognitive Science Conference (May 2007), 202--207."},{"key":"e_1_3_2_1_6_1","first-page":"2","article-title":"Computational Model of Cooperative Behavior Based on Dynamical Selection of Intention Based Action Decision Strategy","volume":"17","author":"Yugo Nagata","year":"2010","unstructured":"Yugo Nagata et al. 2010 . Computational Model of Cooperative Behavior Based on Dynamical Selection of Intention Based Action Decision Strategy . Cognitive Studies , Vol. 17 , 2 (June 2010), 270--286. (in Japanese). Yugo Nagata et al. 2010. Computational Model of Cooperative Behavior Based on Dynamical Selection of Intention Based Action Decision Strategy. Cognitive Studies , Vol. 17, 2 (June 2010), 270--286. (in Japanese).","journal-title":"Cognitive Studies"},{"key":"e_1_3_2_1_7_1","first-page":"3","article-title":"A Constructive Approach to the Evolution of the Recursion Level in the Theory of Mind","volume":"12","author":"Takano Masanori","year":"2005","unstructured":"Masanori Takano , Masahiro Kato , and Takaya Arita . 2005 . A Constructive Approach to the Evolution of the Recursion Level in the Theory of Mind , Cognitive Studies. Cognitive Studies , Vol. 12 , 3 (Sept. 2005), 221--233. (in Japanese). Masanori Takano, Masahiro Kato, and Takaya Arita. 2005. A Constructive Approach to the Evolution of the Recursion Level in the Theory of Mind, Cognitive Studies. Cognitive Studies , Vol. 12, 3 (Sept. 2005), 221--233. (in Japanese).","journal-title":"Cognitive Studies. Cognitive Studies"},{"key":"e_1_3_2_1_8_1","volume-title":"The 2009 Mario AI Competition. IEEE Congress on Evolutionary Competition (Aug. 2010","author":"Togelius Julian","year":"2010","unstructured":"Julian Togelius , Sergey Karakovskiy , and Robin Baumgarten . 2010 . The 2009 Mario AI Competition. IEEE Congress on Evolutionary Competition (Aug. 2010 ), 1--8. https:\/\/doi.org\/10.1109\/CEC.2010.5586133 10.1109\/CEC.2010.5586133 Julian Togelius, Sergey Karakovskiy, and Robin Baumgarten. 2010. The 2009 Mario AI Competition. IEEE Congress on Evolutionary Competition (Aug. 2010), 1--8. https:\/\/doi.org\/10.1109\/CEC.2010.5586133"},{"key":"e_1_3_2_1_9_1","volume-title":"Deep Reinforcement Learning with Double Q-learning. Thirtieth AAAI Conference on Artificial Intelligence (March 2016)","author":"van Hasselt Hado","year":"2016","unstructured":"Hado van Hasselt , Arthur Guez , and David Silver . 2016 . Deep Reinforcement Learning with Double Q-learning. Thirtieth AAAI Conference on Artificial Intelligence (March 2016) , 2094--2100. Hado van Hasselt, Arthur Guez, and David Silver. 2016. Deep Reinforcement Learning with Double Q-learning. Thirtieth AAAI Conference on Artificial Intelligence (March 2016), 2094--2100."}],"event":{"name":"HAI '19: 7th International Conference on Human-Agent Interaction","location":"Kyoto Japan","acronym":"HAI '19","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 7th International Conference on Human-Agent Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3349537.3352771","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3349537.3352771","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:54:32Z","timestamp":1750204472000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3349537.3352771"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,25]]},"references-count":9,"alternative-id":["10.1145\/3349537.3352771","10.1145\/3349537"],"URL":"https:\/\/doi.org\/10.1145\/3349537.3352771","relation":{},"subject":[],"published":{"date-parts":[[2019,9,25]]},"assertion":[{"value":"2019-09-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}