{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T08:02:18Z","timestamp":1775894538746,"version":"3.50.1"},"reference-count":12,"publisher":"SAGE Publications","issue":"3-4","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["ICGA Journal: The Journal of the Computer Games Community"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1177\/13896911251320715","type":"journal-article","created":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:49:54Z","timestamp":1767653394000},"page":"85-97","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Demis Hassabis: From Chess Wunderkind Via Play to the Nobel Prize"],"prefix":"10.1177","volume":"46","author":[{"given":"Ingo","family":"Alth\u00f6fer","sequence":"first","affiliation":[{"name":"Emeritus at Friedrich Schiller University, Jena, Germany<?show [AQ ID=AQ1]?>"}]}],"member":"179","published-online":{"date-parts":[[2025,2,24]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.3233\/ICG-240256"},{"key":"e_1_3_2_3_1","unstructured":"Durrani J. (2024). How AI protein structure prediction and design won the Nobel prize. Online article at ChemistryWorld.com. https:\/\/www.chemistryworld.com\/features\/how-ai-protein-structure-prediction-and-design-won-the-nobel-prize\/4020354.article. Visited on October 17 2024."},{"issue":"7","key":"e_1_3_2_4_1","first-page":"299","article-title":"Deconstructing episodic memory with construction. Trends","volume":"11","author":"Hassabis D.","year":"2007","unstructured":"Hassabis D., Maguire E. A. (2007). Deconstructing episodic memory with construction. Trends. Cognitive Science, 11(7), 299\u2013306.","journal-title":"Cognitive Science"},{"key":"e_1_3_2_5_1","unstructured":"Havel T. F. (1982). The Combinatorial Distance Geometry Approach to the Calculation of Molecular Conformation [Ph.D. Thesis in Biophysics] University of California at Berkeley."},{"key":"e_1_3_2_6_1","first-page":"22","volume-title":"High accuracy protein structure prediction using deep learningFourteenth Critical Assessment of Techniques for Protein Structure Prediction (Abstract Book)","author":"Jumper J.","year":"2020","unstructured":"Jumper J., Pritzel A., Green T., Figurnov M., Tunyasuvunakool K., Ronneberger O., Bates R., \u017d\u00eddek A., Bridgland A., Meyer C. (2020). High accuracy protein structure prediction using deep learning. Fourteenth Critical Assessment of Techniques for Protein Structure Prediction (Abstract Book), pp. 22\u201324, December 2020."},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.070039597"},{"key":"e_1_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-024-08252-9"},{"key":"e_1_3_2_9_1","unstructured":"Sadler M. Regan N. (2019). Game Changer: AlphaZero's Groundbreaking Chess Strategies and the Promise of AI. New in Chess January 2019. The introduction by Demis Hassabis can be found online at: https:\/\/www.sciencefocus.com\/future-technology\/far-from-being-just-a-game-chess-has-always-been-a-part-of-me. Last visited on November 30 2024."},{"key":"e_1_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"e_1_3_2_11_1","article-title":"(DeepMind). A general reinforcement learning algorithm that masters Chess, Shogi, and Go through self-play","author":"Silver D.","year":"2018","unstructured":"Silver D., Hubert T., Schrittwieser J., Antonoglou I., Lai M., Guez A., Lanctot M., Sifre L., Kumaran D., Graepel T., Lillicrap T., Simonyan K., Hassabis D. (2018). (DeepMind). A general reinforcement learning algorithm that masters Chess, Shogi, and Go through self-play. Magazine Science.","journal-title":"Magazine Science"},{"key":"e_1_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"e_1_3_2_13_1","unstructured":"Sprute U. (2024). K\u00fcnstliche Intelligenz (in German). https:\/\/turm-lage.de\/Besucher\/Computer\/K%C3%BCnstliche%20Intelligenz.html. Visited on December 30 2024."}],"container-title":["ICGA Journal: The Journal of the Computer Games Community"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/13896911251320715","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/13896911251320715","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/13896911251320715","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T07:28:38Z","timestamp":1775892518000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/13896911251320715"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":12,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["10.1177\/13896911251320715"],"URL":"https:\/\/doi.org\/10.1177\/13896911251320715","relation":{},"ISSN":["1389-6911","2468-2438"],"issn-type":[{"value":"1389-6911","type":"print"},{"value":"2468-2438","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}