Heuristic Evaluation Functions for General Game Playing
| dc.contributor.author | Clune, James E. | |
| dc.date.accessioned | 2018-01-08T09:14:52Z | |
| dc.date.available | 2018-01-08T09:14:52Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | This dissertation explores the problem of constructing an effective general game-playing program, with an emphasis on techniques for automatically constructing effective heuristic evaluation functions from game descriptions. A technique based on abstract models of games is presented. The abstract model treats mobility, payoff and termination as the most salient elements of a game. Each of these aspects are quantified in terms of stable features. Evidence is presented that the technique produces heuristic evaluation functions that are both comprehensible and effective. Empirical work includes a series of general game-playing programs that placed first or second for the three consecutive years of the AAAI General Game-Playing Competition.The full dissertation can be downloaded at https://sites.google.com/site/jimcluneresearch/. | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11184 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 25, No. 1 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Heuristic Evaluation Functions for General Game Playing | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 74 | |
| gi.citation.startPage | 73 |