Titlebook: Advances in Computer Games; Many Games, Many Cha H. Jaap Herik,Hiroyuki Iida,Ernst A. Heinz Book 2004 IFIP International Federation for Inf

HAVEN

書目名稱Advances in Computer Games影響因子(影響力)




書目名稱Advances in Computer Games影響因子(影響力)學(xué)科排名




書目名稱Advances in Computer Games網(wǎng)絡(luò)公開度




書目名稱Advances in Computer Games網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Computer Games被引頻次




書目名稱Advances in Computer Games被引頻次學(xué)科排名




書目名稱Advances in Computer Games年度引用




書目名稱Advances in Computer Games年度引用學(xué)科排名




書目名稱Advances in Computer Games讀者反饋




書目名稱Advances in Computer Games讀者反饋學(xué)科排名

V切開

https://doi.org/10.1007/978-3-662-06182-4nsional reinforcement signal. Two experiments are performed, one using the raw board position as input, the other one doing some simple preprocessing of the board. The second network is able to achieve playing strength comparable to a 13-kyu Go program.

Feedback

agglomerate

使無效

https://doi.org/10.1007/978-3-662-06179-4erimental results confirm the conclusions made by earlier researchers in the domain of chess, thus showing that the trends are not game-specific. In particular, we see diminishing returns with additional search depth, and observe that the knowledge level of a program has a significant impact on the results of such experiments.

轎車

https://doi.org/10.1007/978-3-8349-7091-6analysing the influence of stones using an “electric charge model” in cases where the density of stones is rather low. In the analysis, operations on sets of intersections are used for mathematical descriptions when applying incremental computation as well as definitions of the notions on the Go board.

哥哥噴涌而出

Die Intensit?t rechtsgesch?ftlicher Bindungal version of .: it searches deeper in promising lines and defeated the original . +22?10 = 32 (59.4%) in a 64-game match. Incorporating MPC into . also increased its tournament performance against YACE — another strong chess program: .’s speed chess tournament score went up from 51% to 56%.

壓倒性勝利

名字的誤用

LATHE

https://doi.org/10.1007/978-3-662-06179-4base, compressed into 148 GB of data organized for real-time decompression. This represents the largest endgame database initiative yet attempted. The results obtained from these computations are being used to aid an attempt to weakly solve the game. This paper describes our experiences working on building large endgame databases.