dc.contributor.author | Ellis, Simon | |
dc.contributor.author | Hendler, James A. | |
dc.date.accessioned | 2023-01-25T20:45:22Z | |
dc.date.available | 2023-01-25T20:45:22Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Ellis, S. and Hendler, J., Computers Play Go, Computers Play Chess, Humans Play Dungeons and Dragons, IEEE Intelligent Systems, 32(4), 2017. | en_US |
dc.identifier.uri | http://doi.org/10.1109/MIS.2017.3121545 | |
dc.identifier.uri | https://hdl.handle.net/20.500.13015/6406 | |
dc.description.abstract | With the AlphaGo computer program's recent win over one of the world's expert Go players, AI researchers need to explore new challenges in the game-playing arena. While there are a number of games to explore, the authors pose a true challenge for the next decade: attacking human-oriented games such as Dungeons & Dragons. | en_US |
dc.publisher | IEEE | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.title | Computers Play Go, Computers Play Chess, Humans Play Dungeons and Dragons | en_US |
dc.type | Article | en_US |