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Therefore, they have attracted considerable research interest. This paper investigates novel multi-objective neuroevolutionary approaches for fighting games focusing on the Fighting Game AI Competition. Considering several objectives shall improve the AI\u2019s generalization capabilities when confronted with new opponents.\nTo this end, novel combinations of neuroevolution and multi-objective evolutionary algorithms are explored. Since the variants proposed employ the well-known <jats:italic>R<\/jats:italic>2 indicator, we derived a novel faster algorithm for determining the exact <jats:italic>R<\/jats:italic>2 contribution. An experimental comparison of the novel variants to existing multi-objective neuroevolutionary algorithms demonstrates clear performance benefits on the test case considered. The best performing algorithm is then used to evolve controllers for the fighting game. Comparing the results with state-of-the-art AI opponents shows very promising results; the novel bot is able to outperform several competitors.<\/jats:p>","DOI":"10.1007\/s00521-020-04794-x","type":"journal-article","created":{"date-parts":[[2020,3,14]],"date-time":"2020-03-14T13:02:36Z","timestamp":1584190956000},"page":"13885-13916","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Coping with opponents: multi-objective evolutionary neural networks for fighting games"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3663-6460","authenticated-orcid":false,"given":"Steven","family":"K\u00fcnzel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silja","family":"Meyer-Nieberg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,14]]},"reference":[{"key":"4794_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-63519-4","volume-title":"Artificial intelligence and games","author":"GN Yannakakis","year":"2018","unstructured":"Yannakakis GN, Togelius J (2018) Artificial intelligence and games. 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Since they are difficult for AI players they have attracted research interest in the artificial and computational game community. The particular game which the paper considers uses a highly stylized, comic-like graphic style which does not depict any injuries or blood. This article does not contain any studies involving human participants performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical standard"}}]}}