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.
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リリース日: 2017年5月30日

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最新の更新 全て表示(14)

5月30日

Update 1.0 - Release!

Very excited to release Ancient Go!

I hope to bring this amazing game to many new players.

Changes:
  • Updated menu system fully integrated
  • Visual for board size changes
  • AI marking of dead stones

Development is not stopping here, this is a long term project and a passion.

5 件のコメント 詳細を見る

5月22日

Update 0.3 - New Menu, Steam Achievements

Pretty big update in preparation for full release next week. A bunch of it is still rough around the edges but I am very interested in what people think, if there are bug etc.

Still more to do to polish and layout the new menu system. The online game menus and in game menus still need to be integrated but it is coming. I really want to put the best foot forward in case any new player come in this week while AlphaGo plays.

Changes:
  • Updated menu system
  • Visual warning for any of your stones in atari (can toggle in options)
  • First time you load the game, some professional game records are replayed on the board
  • Stone placement and capture effects (can toggle in options)
  • Added noise for game resumed from stone removal phase
  • Added noise for pass in multiplayer
  • Added loading screen
  • Fixed bug with autoscore displaying board territory incorrectly after game completed
  • Fixed bug with AI not capturing dead stones in autoscore
  • Fixed bug where tutorials allowed play after a review
  • Light theme temporarily disabled due to menu update

P.S. You should all watch AlphaGo play live tonight at 10:30PM EST. More games on Wednesday, Thursday, and Friday night!

8 件のコメント 詳細を見る

このゲームについて

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.

システム要件

    最低:
    • OS: Window 7
    • プロセッサー: 64 Bit
    • メモリー: 2 GB RAM
    • グラフィック: PassMark Score of 1000 or Better (Any Modern Graphics Card)
    • DirectX: Version 11
    • ストレージ: 1 GB 利用可能
    • 追記事項: Please be capable of running Unreal Engine 4. Graphics will scale automatically, may run at low resolution on slightly slower hardware.
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