DocumentCode
1557259
Title
Evolved to Win (Sipper, M.; 2011) [Book Review]
Author
Gustafson, Steven
Author_Institution
GE Global Research, USA
Volume
7
Issue
3
fYear
2012
Firstpage
62
Lastpage
64
Abstract
This book contains 12 chapters, of which 8 are descriptions of how the author used genetic programming to solve different games. In order, the games Prof. Sipper describes are lose checkers, chess end games, search algorithms for regular chess, backgammon, simulated Robocode,simulated racing cars, the puzzle Rush Hour, and the puzzle FreeCell. Each chapter, and one additional detailed chapter for lose checkers, gives a comprehensive description on how the author solved the game using genetic programming. The reader can get a good understanding of the work and approach used to solve the game before delving deeper into the original conference and journal papers published by the author for more rigorous descriptions and empirical results.
Keywords
Artificial intelligence; Artificial neural networks; Book reviews; Game theory; Games; Genetic programming; Neural networks;
fLanguage
English
Journal_Title
Computational Intelligence Magazine, IEEE
Publisher
ieee
ISSN
1556-603X
Type
jour
DOI
10.1109/MCI.2012.2200629
Filename
6238497
Link To Document