Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

12

GAMEON
2001

favoriteEmaildiscussreport

174views Modeling And Simulation» more GAMEON 2001»

A New Computational Approach to the Game of Go

13 years 5 months ago

A New Computational Approach to the Game of Go

Download ducati.doc.ntu.ac.uk

This paper investigates the application of neural network techniques to the creation of a program that can play the game of Go with some degree of success. The combination of soft AI, such as neural networks, and hard AI methods, such as alpha-beta pruned minimax game tree searching, is attempted to assess the usefulness of blending these two different types of artificial intelligence and to investigate how the methods can be combined successfully.

Julian Churchill, Richard Cant, David Al-Dabass

Real-time Traffic

GAMEON 2001 | GAMEON 2007 | Hard Ai Methods | Neural Network Techniques | Neural Networks |

claim paper

Related Content

» Computing Elo Ratings of Move Patterns in the Game of Go

» Traditional games meet ICT a case study on go game augmentation

» LambdaSearch in Game Trees with Application to Go

» The Game of Hex An Automatic Theorem Proving Approach to Game Programming

» Scaling Renormalization and Universality in Combinatorial Games The Geometry of Chomp

» Canonical Sequence Directed Tactics Analyzer for Computer Go Games

» A Learning Architecture for the Game of Go

» Learning Opening Strategy in the Game of Go

» SimulationBased Approach to General Game Playing

Post Info
More Details (n/a)

Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2001
Where	GAMEON
Authors	Julian Churchill, Richard Cant, David Al-Dabass

Comments (0)