FREE download:   http://www.lulu.com/product/ebook/evolved-to-win/18702814

Hard copy:   http://www.lulu.com/product/paperback/evolved-to-win/18702740

Evolved to Win

by Moshe Sipper

Recent years have seen a sharp increase in the application of
evolutionary computation techniques within the domain of games.
Situated at the forefront of this research tidal wave, Moshe Sipper
and his group have produced a plethora of award-winning results, in
numerous games of diverse natures, evidencing the success and
efficiency of evolutionary algorithms in general¬—and genetic
programming in particular—at producing top-notch, human-competitive
game strategies. From classic chess and checkers, through simulated
car racing and virtual warfare, to mind-bending puzzles, this book
serves both as a tour de force of the research landscape and as a
guide to the application of evolutionary computation within the domain
of games.

An outstanding, timely book in the rapidly growing area of
computational intelligence in games.  A must read for both the
neophyte and the seasoned researcher, with all the hallmarks of a
landmark book.
John Koza, author of Genetic Programming tetralogy

In Evolved to Win Moshe Sipper provides a treasure trove of detailed
examples and advice on using evolutionary computation, in conjunction
with human expertise, to solve hard puzzles and to win a wide variety
of challenging games. Sipper and his colleagues know this field better
than anyone else, having produced some of the field's strongest and
most exciting results, and this book provides a comprehensive tour of
their results along with ample guidance for newcomers to the field.
Lee Spector, Professor of Computer Science, Hampshire College, and
Editor-in-Chief of the journal Genetic Programming and Evolvable
Machine

FREE download:   http://www.lulu.com/product/ebook/evolved-to-win/18702814

Hard copy:   http://www.lulu.com/product/paperback/evolved-to-win/18702740

Evolved to Win

by Moshe Sipper

Recent years have seen a sharp increase in the application of
evolutionary computation techniques within the domain of games.
Situated at the forefront of this research tidal wave, Moshe Sipper
and his group have produced a plethora of award-winning results, in
numerous games of diverse natures, evidencing the success and
efficiency of evolutionary algorithms in general¬—and genetic
programming in particular—at producing top-notch, human-competitive
game strategies. From classic chess and checkers, through simulated
car racing and virtual warfare, to mind-bending puzzles, this book
serves both as a tour de force of the research landscape and as a
guide to the application of evolutionary computation within the domain
of games.

An outstanding, timely book in the rapidly growing area of
computational intelligence in games.  A must read for both the
neophyte and the seasoned researcher, with all the hallmarks of a
landmark book.
John Koza, author of Genetic Programming tetralogy

In Evolved to Win Moshe Sipper provides a treasure trove of detailed
examples and advice on using evolutionary computation, in conjunction
with human expertise, to solve hard puzzles and to win a wide variety
of challenging games. Sipper and his colleagues know this field better
than anyone else, having produced some of the field's strongest and
most exciting results, and this book provides a comprehensive tour of
their results along with ample guidance for newcomers to the field.
Lee Spector, Professor of Computer Science, Hampshire College, and
Editor-in-Chief of the journal Genetic Programming and Evolvable
Machine