{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T14:36:24Z","timestamp":1759588584781},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030398774"},{"type":"electronic","value":"9783030398781"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-39878-1_9","type":"book-chapter","created":{"date-parts":[[2020,2,3]],"date-time":"2020-02-03T07:02:33Z","timestamp":1580713353000},"page":"90-101","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Flexibility of Emulation Learning from Pioneers in Nonstationary Environments"],"prefix":"10.1007","author":[{"given":"Moto","family":"Shinriki","sequence":"first","affiliation":[]},{"given":"Hiroaki","family":"Wakabayashi","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Kono","sequence":"additional","affiliation":[]},{"given":"Tatsuji","family":"Takahashi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,4]]},"reference":[{"issue":"1528","key":"9_CR1","doi-asserted-by":"publisher","first-page":"2417","DOI":"10.1098\/rstb.2009.0069","volume":"364","author":"A Whiten","year":"2009","unstructured":"Whiten, A., McGuigan, N., Marshall-Pescini, S., Hopper, L.M.: Emulation, imitation, over-imitation and the scope of culture for child and chimpanzee. Philos. Trans. R. Soc. B: Biol. Sci. 364(1528), 2417\u20132428 (2009). \nhttps:\/\/doi.org\/10.1098\/rstb.2009.0069","journal-title":"Philos. Trans. R. Soc. B: Biol. Sci."},{"issue":"6","key":"9_CR2","doi-asserted-by":"publisher","first-page":"AI30-M_1-11","DOI":"10.1527\/tjsai.AI30-M","volume":"31","author":"Tatsuji Takahashi","year":"2016","unstructured":"Takahashi, T., Kohno, Y., Uragami, D.: Cognitive satisficing: bounded rationality in reinforcement learning. Trans. Jpn. Soc. Artif. Intell. 31(6), AI30-M\\_1\u201311 (2016). (in Japanese)","journal-title":"Transactions of the Japanese Society for Artificial Intelligence"},{"key":"9_CR3","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.biosystems.2019.02.009","volume":"180","author":"A Tamatsukuri","year":"2019","unstructured":"Tamatsukuri, A., Takahashi, T.: Guaranteed satisficing and finite regret: analysis of a cognitive satisficing value function. BioSystems 180, 46\u201353 (2019)","journal-title":"BioSystems"},{"key":"9_CR4","unstructured":"Andrew Maas, J., Bagnell, A., Dey, A.K., Ziebart, B.D.: Maximum entropy inverse reinforcement learning. In: AAAI 2008 (2008)"},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"Levy, K.Y., Shimkin, N.: Unified inter and intra options learning using policy gradient methods. In: EWRL, pp. 153\u2013164 (2011)","DOI":"10.1007\/978-3-642-29946-9_17"},{"issue":"2","key":"9_CR6","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1037\/h0042769","volume":"63","author":"HA Simon","year":"1956","unstructured":"Simon, H.A.: Rational choice and the structure of the environment. Psychol. Rev. 63(2), 129\u2013138 (1956)","journal-title":"Psychol. Rev."},{"key":"9_CR7","unstructured":"Ushida, U., Kono, Y., Takahashi, T.: Satisficing reinforcement learning for survival. In: Proceedings of JSAI 2017, 4C2-2in2 (2017). (in Japanese)"},{"key":"9_CR8","unstructured":"Kono, Y., Takahashi, T.: Autonomous optimal exploration through satisficing. In: Proceedings of JSAI 2018, 1Z3-04 (2018). (in Japanese)"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-39878-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,3]],"date-time":"2020-02-03T07:08:30Z","timestamp":1580713710000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-39878-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030398774","9783030398781"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-39878-1_9","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"JSAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference of the Japanese Society for Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Niigata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"33","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"jsai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ai-gakkai.or.jp\/jsai2019\/en","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}