Go

Try your Go skills against an Artificial Brain. Pay attention, the first who captures something is the winner.

A "Greedy" Go player. It uses a statical evaluation (heuristic) to choose his next move.
A Min-Max based Go player. It's the classical way to choose the optimal move when we have the game tree.
The AlphaBeta Go player). Faster than Min-Max (it does not explore branches that are clearly worse than what was already explored) but the idea is the same.

How To Use:

Download go.zip (113KB)

Java Source: available in download

Sample HTML Source:


<APPLET

  CODEBASE = "."

  ARCHIVE  = "goapplet1.jar"

  CODE     = "Manager.GoApplet"

  NAME     = "Atari Go Applet"

  WIDTH    = 400

  HEIGHT   = 400

  HSPACE   = 0

  VSPACE   = 0

  ALIGN    = MIDDLE

>

</APPLET>

Status: free

Author: Sorin Gherman

Homepage: http://www.geocities.com/SiliconValley/Orchard/8089/Java/Goapplet.htm

Upload Date: January 28, 2000

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