Mining Experiential Patterns from Game-Logs of Board Game

In board games, game-logs record past game processes, which can be regarded as an accumulation of experience. Similar to a real person, a computer player can gradually increase its skill by learning from game-logs. Therefore, the game becomes more interesting. This paper proposes an extensible appro...

Full description

Saved in:
Bibliographic Details
Main Authors: Liang Wang, Yu Wang, Yan Li
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:International Journal of Computer Games Technology
Online Access:http://dx.doi.org/10.1155/2015/576201
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850229933840793600
author Liang Wang
Yu Wang
Yan Li
author_facet Liang Wang
Yu Wang
Yan Li
author_sort Liang Wang
collection DOAJ
description In board games, game-logs record past game processes, which can be regarded as an accumulation of experience. Similar to a real person, a computer player can gradually increase its skill by learning from game-logs. Therefore, the game becomes more interesting. This paper proposes an extensible approach to mine experiential patterns from increasing game-logs. The computer player improves its strategies by utilizing these growing patterns, just as it acquires experience. To evaluate the effect and performance of the approach, we designed a sample board game as a test platform and elaborated an experiment consisting of a series of tests. Experimental results show that our approach is effective and efficient.
format Article
id doaj-art-29eb59bb38ab4b4c95c221ef471005fd
institution OA Journals
issn 1687-7047
1687-7055
language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series International Journal of Computer Games Technology
spelling doaj-art-29eb59bb38ab4b4c95c221ef471005fd2025-08-20T02:04:01ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552015-01-01201510.1155/2015/576201576201Mining Experiential Patterns from Game-Logs of Board GameLiang Wang0Yu Wang1Yan Li2School of Computer Science and Technology, Hebei University, Baoding 071000, ChinaSchool of Computer Science and Technology, Hebei University, Baoding 071000, ChinaSchool of Mathematics and Information Science, Hebei University, Baoding 071002, ChinaIn board games, game-logs record past game processes, which can be regarded as an accumulation of experience. Similar to a real person, a computer player can gradually increase its skill by learning from game-logs. Therefore, the game becomes more interesting. This paper proposes an extensible approach to mine experiential patterns from increasing game-logs. The computer player improves its strategies by utilizing these growing patterns, just as it acquires experience. To evaluate the effect and performance of the approach, we designed a sample board game as a test platform and elaborated an experiment consisting of a series of tests. Experimental results show that our approach is effective and efficient.http://dx.doi.org/10.1155/2015/576201
spellingShingle Liang Wang
Yu Wang
Yan Li
Mining Experiential Patterns from Game-Logs of Board Game
International Journal of Computer Games Technology
title Mining Experiential Patterns from Game-Logs of Board Game
title_full Mining Experiential Patterns from Game-Logs of Board Game
title_fullStr Mining Experiential Patterns from Game-Logs of Board Game
title_full_unstemmed Mining Experiential Patterns from Game-Logs of Board Game
title_short Mining Experiential Patterns from Game-Logs of Board Game
title_sort mining experiential patterns from game logs of board game
url http://dx.doi.org/10.1155/2015/576201
work_keys_str_mv AT liangwang miningexperientialpatternsfromgamelogsofboardgame
AT yuwang miningexperientialpatternsfromgamelogsofboardgame
AT yanli miningexperientialpatternsfromgamelogsofboardgame