{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:30:12Z","timestamp":1766068212041,"version":"3.40.4"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031858581","type":"print"},{"value":"9783031858598","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-85859-8_30","type":"book-chapter","created":{"date-parts":[[2025,4,20]],"date-time":"2025-04-20T12:09:32Z","timestamp":1745150972000},"page":"351-360","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Soccer Gameplay Data Generation: Toward Integrating Computer Simulations and\u00a0Human Sports Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9793-9123","authenticated-orcid":false,"given":"Hidehisa","family":"Akiyama","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1443-0816","authenticated-orcid":false,"given":"Tomoharu","family":"Nakashima","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,21]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Akiyama, H., Dorer, K., Lau, N.: On the progress of soccer simulation leagues. In: In: RoboCup 2014: Robot World Cup XVIII. RoboCup 2014. Lecture Notes in Computer Science, vol. 8992, pp. 599\u2013610 (2015)","DOI":"10.1007\/978-3-319-18615-3_49"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Akiyama, H., Nakashima, T.: HELIOS base: an open source package for the RoboCup soccer 2D simulation. In: RoboCup 2013: Robot World Cup XVII. Lecture Notes in Computer Science, vol. 8371, pp. 528\u2013535 (2014)","DOI":"10.1007\/978-3-662-44468-9_46"},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Cioppa, A., et al.: SoccerNet-tracking: multiple object tracking dataset and benchmark in soccer videos. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3491\u20133502 (2022)","DOI":"10.1109\/CVPRW56347.2022.00393"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Decroos, T., Bransen, L., Van Haaren, J., Davis, J.: Actions speak louder than goals: valuing player actions in soccer. In: KDD, pp. 1851\u20131861 (2019)","DOI":"10.1145\/3292500.3330758"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Kurach, K., et al.: Google research football: a novel reinforcement learning environment. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 04, pp. 4501\u20134510 (2020)","DOI":"10.1609\/aaai.v34i04.5878"},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Michael, O., Obst, O., Schmidsberger, F., Stolzenburg, F.: RoboCupSimData: software and data for machine learning from RoboCup simulation league. In: RoboCup 2018: Robot World Cup XXII. Lecture Notes in Computer Science, vol. 11374 (2019)","DOI":"10.1007\/978-3-030-27544-0_19"},{"issue":"2\u20133","key":"30_CR7","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1080\/088395198117848","volume":"12","author":"I Noda","year":"1998","unstructured":"Noda, I., Matsubara, H., Hiraki, K., Frank, I.: Soccer server: a tool for research on multiagent systems. Appl. Artif. Intell. 12(2\u20133), 233\u2013250 (1998)","journal-title":"Appl. Artif. Intell."},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Rubner, Y., Tomasi, C., Guibas, L. J.: A metric for distributions with applications to image databases. In: IEEE International Conference on Computer Vision, pp. 59\u201366 (1998)","DOI":"10.1109\/ICCV.1998.710701"},{"issue":"7587","key":"30_CR9","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1038\/nature16961","volume":"529","author":"D Silver","year":"2016","unstructured":"Silver, D., et al.: Mastering the game of Go with deep neural networks and tree search. Nature 529(7587), 484\u2013489 (2016)","journal-title":"Nature"},{"key":"30_CR10","unstructured":"Spearman, W.: Beyond expected goals. In: Proceedings of the 12th MIT Sloan Sports Analytics Conference, pp. 1\u201317 (2018)"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Teranishi, M., Tsutsui, K., Takeda, K., Fujii, K.: Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction. In: Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science, vol. 1783 (2023)","DOI":"10.1007\/978-3-031-27527-2_5"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Yeh, R.A., Schwing, A.G., Huang, J., Murphy, K.: Diverse generation for multi-agent sports games. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4605\u20134614 (2019)","DOI":"10.1109\/CVPR.2019.00474"}],"container-title":["Lecture Notes in Computer Science","RoboCup 2024: Robot World Cup XXVII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-85859-8_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,20]],"date-time":"2025-04-20T12:09:39Z","timestamp":1745150979000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-85859-8_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031858581","9783031858598"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-85859-8_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"21 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RoboCup","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Robot World Cup","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Eindhoven","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"robocup2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2024.robocup.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}