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

Sammlungen