AI for Ancient Games
dc.contributor.author | Browne, Cameron | |
dc.date.accessioned | 2021-04-23T09:30:29Z | |
dc.date.available | 2021-04-23T09:30:29Z | |
dc.date.issued | 2020 | |
dc.description.abstract | This report summarises the Digital Ludeme Project, a recently launched 5-year research project being conducted at Maastricht University. This computational study of the world’s traditional strategy games seeks to improve our understanding of early games, their development, and their role in the spread of related mathematical ideas throughout recorded human history. | de |
dc.identifier.doi | 10.1007/s13218-019-00600-6 | |
dc.identifier.pissn | 1610-1987 | |
dc.identifier.uri | http://dx.doi.org/10.1007/s13218-019-00600-6 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/36282 | |
dc.publisher | Springer | |
dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 34, No. 1 | |
dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
dc.subject | Ancient games | |
dc.subject | Digital archæoludology | |
dc.subject | Digital Ludeme Project | |
dc.subject | General game systems | |
dc.subject | Strategy learning | |
dc.subject | transfer and explanation | |
dc.title | AI for Ancient Games | de |
dc.type | Text/Journal Article | |
gi.citation.endPage | 93 | |
gi.citation.startPage | 89 |