# The Design and Realization of Connect-six Computer Game Software Xinyang Wang 1, a, Xiali Li 1, a, Rui Wu 1, a, Hailong Xie 1, a

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3 we will get a final assessing value. The evaluation function of connect-six is just a subset of five elements. It s only related to the position of present piece and surrounding pieces, so it can be simplified. Firstly we start from the present move and present situation of the board, and take the present move as the center, scanning those points with step length 13 in fixed length in four directions(horizontally, vertically, left oblique, right oblique)respectively. Then we will get state arrays of the four directions and each has a length of 13.In those arrays, each position has four values:-1,0,1,2,which respectively represents outside board, black piece, white piece and no piece. The evaluation function of present move is: value = value + astepstatus[i] + 1 i = 0, 1,, 12 In the function, value represents the assessing value of a certain move, whose initial value is set by man. AStepStatus represents the state arrays in four directions, and each value maps a step Value. Step Value is got comprehensively from four directions, horizontally, vertically, left oblique, and right oblique. Through the program designed above, we get a stable assessing system for connect-six.the following Tab1. and Tab2. are the testing result of assessing system with NCTU6 by professor Yicheng Wu together with his team; with EVG by former NTU professor Shunqin Xu and his team; with X6 by Siyuan Liu and Shijing Yan. In these tables, T is the time parameter of each piece move. Tab1. Test results (T=10s) On the offensive Defensive position Results Evaluation Function NCTU6 5:0 NCTU6 Evaluation Function 0:5 Evaluation Function EVG 8:0 EVG Evaluation Function 0:10 Evaluation Function X6 7:0 X6 Evaluation Function 0:7 Tab2. Test results (T=20s) On the offensive Defensive position Results Evaluation Function NCTU6 11:0 NCTU6 Evaluation Function 0:7 Evaluation Function EVG 1:0 EVG Evaluation Function 0:3 Evaluation Function X6 6:0 X6 Evaluation Function 0:10 Test and Analysis on Pieces Value of Game Program The connect-six PC game program above can be running on computer, with humanized operation function, friendly contact surface, and higher pieces value. It won the 3rd position in 2014 Cheng Li Cup National computer Contest for College Students. The program can play chess with high-level connect-six lovers, with high searching efficiency and fast operation speed. The website 96

4 of online connect-six game is: following figure 1 is the online demo. Fig1. Online demo This program still needs improving its pieces value, and the followings are several measures: (1)Raise live four weights and live three weights to overcome its low menacing in the beginning of the game. (2)Calculate two pieces comprehensively of each time, if it comes out a double live four, then give it a weight only smaller than five combs. If it cannot, then give a live three or live to, in order to create a double live four. (3)Raise the weight of live four and live three, enabling the program to make live four when possible and disperse the rival s pieces. If there is no condition for live four, then it will create more opportunities for double live four later. The program can disperse the rival s pieces, wakening its threat, while it keeps finding out a way to win. Summary This article designed and implemented a simple connect-six game program, which won the 3rd place in National Computer Game for Colleges and achieved the goal of online game. However, it needs to work much to improve the performance of the game. Acknowledgement This article is supported by the practical innovating project design and realization of connect-six man-machine game program based on Android and website in Minzu University of China. This work is also supported in part by 2013 Beijing university youth talent plan No. YETP

5 References [1] Wenjie Min. Research on Key Tech of Connect-six Computer Game [D] Chongqing: Chongqing Jiao tong University 2010 [2] Li Guo. Research and Realization of Connect-six Computer Game and its System [D] Chong Qing: Chong Qing University, 2007 [3] Jiping Huang, Zhang Dong, Miao Hua. Research and Realization on Connect-six Intelligent Game system [J]: Computer Knowledge and Technology (Academic Exchange), 2009, (9): [4] Qiying Xiao, Zhengzhi Wang. Game Tree Searching and static evaluation function [J] computer application research, 1997, (4). [5] Zhangtang Li, Huamin Chen. Game tree Parallel Searching Algorithm [J] parallel search, 1998, 19(10); [6] Xing er Zhang, Zhengyu Pan. Target-Oriented Optimum α-β Searching Strategy and its application in game problem [J] software journal, 1993, (04). [7] Yang Tao, Zhijun He, Ruizhao Yu. Game Tree Function and its optimal calculation [J]. Computer Journal, 1988, (02). [8] Xiaochuan Zhang, Guangnian Chen, Shiqiang Zhang, Kejun Sun, Zushu Li. Estimating Function of Connect-six Game [J], Journal of Chongqing University of Technology (nature and science), 2010, (02). 98

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