Computer shogi
نویسندگان
چکیده
This paper describes the current state of the art in computer shogi. Shogi (Japanese chess) promises to be a good vehicle for future research into game-playing programs that are based on tree-searching paradigms. This paper shows where chess and shogi are similar, and details the important areas that make shogi programming of particular interest. A crucial difference is the game-tree complexity, which is significantly higher in shogi than in chess. Three important differences are the “drop” rule, the diverging character of the game, and the slow build-up of forces. They make it difficult to have effective opening and endgame procedures. After a short summary of the rules of shogi and an outline of the main areas of current work in computer shogi, we provide an overview of the history of computer shogi, in which computershogi activities both in human tournaments and in exhibition events are given. We conjecture that by the year 2010 a computer will be comparable in strength to the best human players. The most important techniques used in computer shogi are described. We focus on issues such as opening play, selective search, quiescence search, solving tactical exchanges without tree searching, position evaluation and endgame play. At the end the key challenges in computer shogi are enumerated, and finally, concluding remarks are given. 2001 Elsevier Science B.V. All rights reserved.
منابع مشابه
Chess, Shogi, Go, Natural Developments in Game Research
In game programming research there are four interesting and related domains: chess, xiang qi (Chinese chess), shogi (Japanese chess) and go. In this article we will compare chess with shogi, both comparing the rules and the computational aspects of both games. We will see that chess and shogi are very similar, but that there are some important di erences that complicate game programming for sho...
متن کاملAn FPGA-based processor for shogi mating problems
After the success of DEEP BLUE in computer chess, shogi, or Japanese chess is a next challenging target in artificial intelligence for game playing. The complexity and huge search space of shogi have been motivating researchers to make shogi programs, but none of them is competent enough to play against human experts. To improve competence of shogi programs, it is a promising approach to develo...
متن کاملA Survey of Tsume-Shogi Programs Using Variable-Depth Search
Recently, a number of programs have been developed that successfully apply variable-depth search to find solutions for mating problems in Japanese chess, called tsume shogi. Publications on this research domain have been written mainly in Japanese. To present the findings of this research to a wider audience, we compare six different tsume programs. To find the solutions of difficult tsume-shog...
متن کاملUsing Pattern Recognition and Selective Deepening to Solve Tsume Shogi
In chess brute-force search methods have been very successful. However, games like shogi have a game tree complexity that is much higher than chess. Therefore, it is unclear if the methods used for making strong chess programs will also be successful for other games. In our research we will attempt to use a more cognitively based method, pattern recognition, to build a strong shogi playing prog...
متن کاملLarge-Scale Optimization for Evaluation Functions with Minimax Search
This paper presents a new method, Minimax Tree Optimization (MMTO), to learn a heuristic evaluation function of a practical alpha-beta search program. The evaluation function may be a linear or non-linear combination of weighted features, and the weights are the parameters to be optimized. To control the search results so that the move decisions agree with the game records of human experts, a w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Artif. Intell.
دوره 134 شماره
صفحات -
تاریخ انتشار 2002