Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

School of Computer and Information Science

RAS ID

5266

Comments

This article was originally published as: Hingston, P. F. (2007). Evolving Players for an Ancient Game: Hnefetafl. Proceedings of IEEE Symposium on Computational Intelligence and Games. (pp. 168-174). Honolulu. IEEE. Original article available here

Abstract

Hnefatafl is an ancient Norse game - an ancestor of chess. In this paper, we report on the development of computer players for this game. In the spirit of Blondie24, we evolve neural networks as board evaluation functions for different versions of the game. An unusual aspect of this game is that there is no general agreement on the rules: it is no longer much played, and game historians attempt to infer the rules from scraps of historical texts, with ambiguities often resolved on gut feeling as to what the rules must have been in order to achieve a balanced game. We offer the evolutionary method as a means by which to judge the merits of alternative rule sets

DOI

10.1109/CIG.2007.368094

 
COinS
 

Link to publisher version (DOI)

10.1109/CIG.2007.368094