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.

193 pages, ebook

First published November 28, 2011

About the author

Moshe Sipper writes stories where science meets imagination. A professor of artificial intelligence and award-winning scientist, he has published over 220 scientific works and taught around the world.

His research explores topics from deep learning to genetic programming.

Alongside his academic career, he writes fiction that blends imagination with thought-provoking ideas. His books span science fiction, thrillers, absurdist humor, young adult and middle-grade fiction, biblical fiction, and cartoons.

He also writes popular science and computer science books that make complex ideas accessible to a broad audience.

Whether through fiction or nonfiction, his writing invites readers to explore surprising questions, strange worlds, and the possibilities of the future.

Learn more at moshesipper dot com.