Go is a 3000-year-old game of strategy played by over 24 million people world-wide. Play is simple, place stones at key positions to surround territory and capture enemies. The rules can be learned in minutes, but Go has yet to be completely mastered. Ancient Go is designed for new players.
所有評論:
褒貶不一 (37) - 37 篇使用者評論中有 62% 篇給予該遊戲好評。
發行日期:
2017 年 5月 30 日
開發人員:

登入以新增此項目至您的願望清單、追隨或是標記為無興趣

不支援 繁體中文

本產品尚未對您目前所在的地區語言提供支援。在購買請先行確認目前所支援的語言。

購買 Ancient Go

 

關於此遊戲

Go is a 3000-year-old game of strategy played by over 24 million people world-wide. Play is simple, place stones at key positions to surround territory and capture enemies. The rules can be learned in minutes, but Go has yet to be completely mastered.

Ancient Go includes tutorials, an AI opponent, ranked online play, and Steam friend challenges.

The easy AI has been custom designed for beginners to play against, a place where many AIs fail. For harder difficulties a second AI is brought in that is strong enough to beat players with hundreds of hours of experience.

Online play uses free accounts on the OGS server with 400,000 registered users, around 2,000 logged in at any one time. There are quickmatch buttons for the common board sizes, as well as custom open, and Steam challenges. If you end up playing a lot becoming an OGS supporter is highly recommended as we are not affiliated.

Ancient Go uses Unreal Engine 4 and is 64 bit. As such the minimum requirements may be more than some expect. It is full 3D, you can move the camera with the mouse by hold the right mouse button down, and by scrolling. Graphics settings are tuned automatically based on the current frame-rate. It is possible to play on slower machines, but the graphics may tune down substantially for you.

For new players the rest probably wont mean much, but players who know Go, read on.

Ancient Go uses visual hints to indicate when playing into atari, positions on the board in atari, ko's and snapbacks. These are places the new players often have trouble, so it speeds up the learning process and increases the fun factor while people learn the rules. They can be disabled in the options menu.

AGA, Chinese, and Japanese rules are supported and can be selected in the options menu. AGA is default as it solves some problems with online play the popular Japanese rule set does not.

Stone removal uses the Fuego AI to mark dead stones, but can be set manually as well.

The AI used is a combination of Fuego (which is open source) and a custom AI. It is tuned to approximate 22 kyu, 18 kyu, 14 kyu, 2 dan. If new players are reading, it means most likely you can have many hundreds into thousands of hours of experience and the AI will still be a useful opponent. There are issues present which are in most AI's where on larger boards especially the AI fails to see larger strategy, but performs well in tactical situations. As such the AI ranks become significantly worse if play is geared to take advantage of this fact. It is possible for users to replace the Fuego.exe in the working directory with newer or custom versions.

系統需求

    最低配備:
    • 作業系統: Window 7
    • 處理器: 64 Bit
    • 記憶體: 2 GB 記憶體
    • 顯示卡: PassMark Score of 1000 or Better (Any Modern Graphics Card)
    • DirectX: 版本:11
    • 儲存空間: 1 GB 可用空間
    • 備註: Please be capable of running Unreal Engine 4. Graphics will scale automatically, may run at low resolution on slightly slower hardware.

鑑賞家評論

1 位鑑賞家已評論這項產品。點擊這裡查看評論。
顧客評論
偵測到大量評論:
不包括  或  僅檢視
評論類型


購得方式


語言


日期範圍
欲檢視特定日期範圍內的評論,請在上方圖表框選一段日期範圍,或點擊橫條。

顯示圖表



顯示:
評論測試版 新推出!
啟用時,評論會以新的「參考價值評分」排序。請閱讀我們的網誌文章了解更多。
顯示圖表
 
隱藏圖表
 
篩選條件
已啟用評論參考價值測試版
無其它評論符合上述篩選條件
調整上方的篩選條件以檢視其它評論
評論讀取中…