Computer Go: an AI oriented survey
Artificial Intelligence
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Honte, a go-playing program using neural nets
Machines that learn to play games
Heuristic analysis of large trees as generated in the game of 'go'
Heuristic analysis of large trees as generated in the game of 'go'
A model of visual organization for the game of GO
AFIPS '69 (Spring) Proceedings of the May 14-16, 1969, spring joint computer conference
Information Sciences: an International Journal
Learning to score final positions in the game of Go
Theoretical Computer Science - Advances in computer games
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This paper investigates methods for estimating potential territory in the game of Go. We have tested the performance of direct methods known from the literature, which do not require a notion of life and death. Several enhancements are introduced which can improve the performance of the direct methods. New trainable methods are presented for learning to estimate potential territory from examples. The trainable methods can be used in combination with our previously developed method for predicting life and death [25]. Experiments show that all methods are greatly improved by adding knowledge of life and death.