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