{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:24:54Z","timestamp":1743089094092,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030437213"},{"type":"electronic","value":"9783030437220"}],"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\/978-3-030-43722-0_29","type":"book-chapter","created":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T23:04:05Z","timestamp":1586387045000},"page":"446-460","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Testing Hybrid Computational Intelligence Algorithms for General Game\u00a0Playing"],"prefix":"10.1007","author":[{"given":"A. E.","family":"V\u00e1zquez-N\u00fa\u00f1ez","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5330-5217","authenticated-orcid":false,"given":"A. J.","family":"Fern\u00e1ndez-Leiva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4644-2894","authenticated-orcid":false,"given":"P.","family":"Garc\u00eda-S\u00e1nchez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1603-9105","authenticated-orcid":false,"given":"A. M.","family":"Mora","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,9]]},"reference":[{"key":"29_CR1","unstructured":"Bellemare, M.G., Naddaf, Y., Veness, J., Bowling, M.: The arcade learning environment: an evaluation platform for general agents (extended abstract). In: Yang, Q., Wooldridge, M.J. (eds.) Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. IJCAI 2015, Buenos Aires, Argentina, 25\u201331 July 2015, pp. 4148\u20134152. AAAI Press (2015)"},{"key":"29_CR2","unstructured":"Chaslot, G., Bakkes, S., Szita, I., Spronck, P.: Monte-Carlo tree search: a new framework for game AI. In: Darken, C., Mateas, M. (eds.) Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, Stanford, California, USA, 22\u201324 October 2008. The AAAI Press (2008)"},{"key":"29_CR3","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.ins.2014.06.009","volume":"289","author":"J Derrac","year":"2014","unstructured":"Derrac, J., Garc\u00eda, S., Hui, S., Suganthan, P.N., Herrera, F.: Analyzing convergence performance of evolutionary algorithms: a statistical approach. Inf. Sci. 289, 41\u201358 (2014). https:\/\/doi.org\/10.1016\/j.ins.2014.06.009","journal-title":"Inf. Sci."},{"key":"29_CR4","unstructured":"Ebner, M., Levine, J., Lucas, S.M., Schaul, T., Thompson, T., Togelius, J.: Towards a video game description language. In: Lucas, S.M., Mateas, M., Preuss, M., Spronck, P., Togelius, J. (eds.) Artificial and Computational Intelligence in Games, Dagstuhl Follow-Ups, vol. 6, pp. 85\u2013100. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik (2013)"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-S\u00e1nchez, P., Tonda, A., Fern\u00e1ndez-Leiva, A.J., Cotta, C.: Optimizing hearthstone agents using an evolutionary algorithm. Knowl.-Based Syst. (2019)","DOI":"10.1016\/j.knosys.2019.105032"},{"issue":"2","key":"29_CR6","first-page":"62","volume":"26","author":"MR Genesereth","year":"2005","unstructured":"Genesereth, M.R., Love, N., Pell, B.: General game playing: overview of the AAAI competition. AI Mag. 26(2), 62\u201372 (2005)","journal-title":"AI Mag."},{"key":"29_CR7","volume-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"DE Goldberg","year":"1989","unstructured":"Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, Boston (1989)"},{"key":"29_CR8","unstructured":"Levine, J., et al.: General video game playing. In: Lucas, S.M., Mateas, M., Preuss, M., Spronck, P., Togelius, J. (eds.) Artificial and Computational Intelligence in Games, Dagstuhl Follow-Ups, vol. 6, pp. 77\u201383. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik (2013)"},{"key":"29_CR9","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1109\/TCIAIG.2015.2402393","volume":"8","author":"DP Liebana","year":"2016","unstructured":"Liebana, D.P., et al.: The 2014 general video game playing competition. IEEE Trans. Comput. Intell. AI Games 8, 229\u2013243 (2016)","journal-title":"IEEE Trans. Comput. Intell. AI Games"},{"key":"29_CR10","unstructured":"Love, N., Hinrichs, T., Haley, D., Schkufza, E., Genesereth, M.: General game playing: game description language specification. Technical report LG-2006-01, Stanford University, March 2008. http:\/\/logic.stanford.edu\/classes\/cs227\/2013\/readings\/gdl_spec.pdf"},{"key":"29_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1007\/978-3-662-45523-4_29","volume-title":"Applications of Evolutionary Computation","author":"SM Lucas","year":"2014","unstructured":"Lucas, S.M., Samothrakis, S., P\u00e9rez, D.: Fast evolutionary adaptation for Monte Carlo tree search. In: Esparcia-Alc\u00e1zar, A.I., Mora, A.M. (eds.) EvoApplications 2014. LNCS, vol. 8602, pp. 349\u2013360. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-662-45523-4_29"},{"issue":"7540","key":"29_CR12","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518(7540), 529\u2013533 (2015)","journal-title":"Nature"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Schaul, T.: A video game description language for model-based or interactive learning. In: 2013 IEEE Conference on Computational Intelligence in Games (CIG), Niagara Falls, ON, Canada, 11\u201313 August 2013, pp. 1\u20138. IEEE (2013)","DOI":"10.1109\/CIG.2013.6633610"},{"key":"29_CR14","unstructured":"Schaul, T., Togelius, J., Schmidhuber, J.: Measuring intelligence through games. CoRR abs\/1109.1314 (2011). http:\/\/arxiv.org\/abs\/1109.1314"}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-43722-0_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,4]],"date-time":"2021-03-04T20:25:21Z","timestamp":1614889521000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-43722-0_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030437213","9783030437220"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-43722-0_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"9 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EvoApplications","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on the Applications of Evolutionary Computation (Part of EvoStar)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seville","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 April 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"evoapplications2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.evostar.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"62","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"44","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"71% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.68","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.25","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}