2026-05-28T14:24:33Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/142722026-02-03T11:53:17Zcom_10630_2254col_10630_37959

Optimising Humanness: Designing the best human-like Bot for Unreal Tournament 2004 Mora, Antonio M. Gutiérrez-Rodríguez, Álvaro Fernández-Leiva, Antonio José Videojuegos Computación evolutiva This paper presents multiple hybridizations of the two best bots on the BotPrize 2014 competition, which sought for the best humanlike bot playing the First Person Shooter game Unreal Tournament 2004. To this aim the participants were evaluated using a Turing test in the game. The work considers MirrorBot (the winner) and NizorBot (the second) codes and combines them in two different approaches, aiming to obtain a bot able to show the best behaviour overall. There is also an evolutionary version on MirrorBot, which has been optimized by means of a Genetic Algorithm. The new and the original bots have been tested in a new, open, and public Turing test whose results show that the evolutionary version of MirrorBot apparently improves the original bot, and also that one of the novel approaches gets a good humanness level. 2017-07-19T11:20:47Z 2017-07-19T11:20:47Z 2017-07-19T11:20:47Z 2017 conference output Lecture Notes on Computer Science (LNCS), vol. 10306, pps: 681-692, DOI: 10.1007/978-3-319-59147-6_58 http://hdl.handle.net/10630/14272 http://orcid.org/0000-0002-5330-5217 spa 14th International Work-Conference on Artificial Neural Networks (IWANN 2017) Cádiz (Spain) 06/2017 open access by-nc-nd Springer-Verlag