Computational and human intelligence in blind Go

Computational and human intelligence in blind Go,10.1109/CIG.2011.6032012,Ping-Chiang Chou,Hassen Doghmen,Chang-Shing Lee,Fabien Teytaud,Olivier Teyta

Computational and human intelligence in blind Go  
BibTex | RIS | RefWorks Download
In this paper, we will consider questions related to blindfolded play: (i) the impact (in various conditions) of playing blindfolded in the level of Go players in 9x9 Go (ii) the influence of a visual support (the visual support is a board with no stone) (iii) which modifications are required for making a program strong in the blind variant of the game (and, somehow surprisingly, implementing a program for playing blind go is not equivalent to implementing a program for playing go) (iv) some conclusions on the rules of blind Go for making it interesting and pedagogically efficient. Computational intelligence design question: should a program play differently against a human opponent than against a computer? Our hypothesis here is that the same-strength assumption, which is the basis for many computer programs (alpha-beta or Monte-Carlo Tree Search) does not hold in blind games. Two counter- examples to this "same strength" assumption are already known in some non-blindfolded games:
Published in 2011.
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.