頁籤選單縮合
題 名 | Case Based Reasoning in a Pacman like Game |
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作 者 | Chiang, Akcell; | 書刊名 | 東南學報 |
卷 期 | 28 民94.06 |
頁 次 | 頁139-148 |
分類號 | 484.7 |
關鍵詞 | Case-based reasoning; CBR; |
語 文 | 英文(English) |
英文摘要 | AI game would be more interesting if we could apply case-based reasoning (CBR) into a commercial game like Quake II. As a first step in that direction, the author tentatively transforms the SOAR tutorial eater game's playing rule as a platform to experience that CBR competition with human player in a shared system running map for finding its best solution as competition with human player and Greedy agent. This paper explains how the author adapts Pacman game’s planning rules into our CBR platform – Brick Puzzle game. Based on the numbers of the retained CBR cases during training, the author made three visions of (100, 165 and 200 cases) CBR agents. From the competition results in the experiments, the author found the learning rate and the good retained case rule during training processing will affect the performance of CBR agent in its human contests. |
本系統中英文摘要資訊取自各篇刊載內容。