DocumentCode :
3738035
Title :
Development of a Trax Artificial Intelligence algorithm using path and edge
Author :
Ryo Okuda;Tomohiro Tanaka;Keisuke Yamamoto;Takumu Yahagi;Kazuya Tanigawa
Author_Institution :
Graduate School of Information Sciences, Hiroshima City University, 3-4-1 Ozuka-higashi, Asaminami, 731-3194 JAPAN
fYear :
2015
Firstpage :
256
Lastpage :
259
Abstract :
This paper describes our Trax game engine developed for the FPGA design competition associated with the 2015 International Conference on Field Programmable Technology (FPT´15). We use path and edge for managing the board information in the game engine. Our game engine recognizes victory conditions such as loop and victory line by using path and edge, and also detects loop attack that is a condition where it is possible to form a loop during the next player´s turn. In this paper, we describe the our developed game engine using path and edge.
Keywords :
"Games","Artificial intelligence","Image edge detection","Engines","Field programmable gate arrays","Color","Arrays"
Publisher :
ieee
Conference_Titel :
Field Programmable Technology (FPT), 2015 International Conference on
Type :
conf
DOI :
10.1109/FPT.2015.7393118
Filename :
7393118
Link To Document :
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