A Study On Automatically Optimizing Gameplay Based on The Expectation of Game Designer

• Main Authors: Di-Yao Gu, 古廸耀
• Other Authors: Wen-Kai Tai
• Format: Others
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/72682458074530701724

碩士 === 國立東華大學 === 資訊工程學系 === 104 === Currently, the slot machine designer has to go through tedious probability adjustment tasks while game developing. Therefore, developing an intuitive and effective mechanism for adjusting probability to fit to target volatility is essential. In the thesis, we propose a concept of volatile curve which the designer could use to indicate a course of game playing and represent the game experiences. When given the curve, we differentiate it to obtain a list of reward items and their irrespective probabilities so that we can estimate a distribution of symbols for each reel. Finally, we have verified the approximated probabilities by simulation the game and the experimental results show that the player's experience is close to designer's expectation.