Online Adaptive Agent for Connect Four

摘要：

One of the challenges that a computer game developer meets when creating a new game is setting the difficulty “right.Not only it is a complicated task to balance all the game parameters, but the developer also needs to cater for players with very different skill levels. Providing a game with an ability to automatically scale the difficulty depending on the current player would make the games more engaging over longer time. In this paper we propose a simple ap-proach based on ranking of available strategies and show that it leads to a surprisingly good online adaptive agent.We evaluate the performance of the developed agent in the games against algorithmic as well as human opponents.

作者: Olana Missura Thomas Gaertner

作者单位: Fraunhofer-Institut für Intelligente Analyse-und Informationssysteme IAIS Schloss Birlinghoven, D-53 Fraunhofer-Institut für Intelligente Analyse-und Intormatiossysteme IAIS Schloss Birlinghoven, D-537

会议类型: 国际会议

会议名称: 第四届计算机游戏开发技术研究国际会议(International Conference on Games Research and Development)

会议地点: 北京

会议语种:英文

页码: 1-8

在线出版日期: 2008-10-01（万方平台首次上网日期，不代表论文的发表时间）