Dynamic Difficulty Adjustment based on an improved algorithm of UCT for the Pac-Man Game
one major problem of Pac-Man Game is how to generate intelligence of opponents at appropriate challenge level.This paper presents an approach for creating game opponents by DDA (Dynamic Difficulty Adjustment), which is used to dynamically adjust challenge level of opponents according to the players skill level.The approach of DDA is based on time-constrained-Cl.Furthermore, in order to improve the performance of Pac-Man Game AI, this paper also discusses an alternative approach, knowledge-based-CI-controlled-NPC, which creates DDA based on knowledge from DTS.
Pac-Man Game DDA DTS time-constrained-DTS knowledge-based-Cl-controUed-NPC
Bin Wu DingDing Chen Suoju He Qijin Sun Zhengjun Li Minxi Zhao
School of Software Engineering,Beijing University of Posts and Telecommunications,Beijing,China,100876
国际会议
太原
英文
306-310
2011-02-26(万方平台首次上网日期,不代表论文的发表时间)