Evolution of Parallel Cellular Machines: The Cellular Programming Approach (Lecture Notes in Computer Science) [Paperback]

Moshe Sipper (Author)

Book Description

Publication Date: April 11, 1997 | ISBN-10: 3540626131 | ISBN-13: 978-3540626138 | Edition: 1

Collective systems, abounding in nature, have evolved by natural selection to exhibit striking problem-solving capacities. Employing simple yet versatile parallel cellular models, coupled with evolutionary computation techniques, this volume explores the issue of constructing man-made systems that exhibit characteristics like those occuring in nature. Parallel cellular machines hold potential both scientifically, as vehicles for studying phenomena of interest in areas such as complex adaptive systems and artificial life, and practically, enabling the construction of novel systems, endowed with evolutionary, reproductive, regenerative, and learning capabilities. This volume examines the behavior of such machines, the complex computation they exhibit, and the application of artificial evolution to attain such systems.

Product Details

• Paperback: 212 pages
• Publisher: Springer; 1 edition (April 11, 1997)
• Language: English
• ISBN-10: 3540626131
• ISBN-13: 978-3540626138
• Product Dimensions: 9 x 6.1 x 0.7 inches
• Shipping Weight: 11.2 ounces (View shipping rates and policies)
• Amazon Best Sellers Rank: #4,575,473 in Books (See Top 100 in Books)

More About the Author

Moshe Sipper is a Professor of Computer Science at Ben-Gurion University of the Negev, Israel. He received his B.A. degree from the Technion---Israel Institute of Technology, and his M.Sc. and Ph.D. degrees from Tel Aviv University, all in computer science. During 1995-2001 he was a Senior Researcher at the Swiss Federal Institute of Technology in Lausanne.

Dr. Sipper's current research focuses on evolutionary computation, mainly as applied to software development and games. At some point or other he also did research in the following areas: bio-inspired computing, cellular automata, cellular computing, artificial self-replication, evolvable hardware, artificial life, artificial neural networks, fuzzy logic, and robotics.

Dr. Sipper has published over 140 scientific papers, and is the author of three books: "Evolved to Win", "Machine Nature: The Coming Age of Bio-Inspired Computing", and "Evolution of Parallel Cellular Machines: The Cellular Programming Approach". He is an Associate Editor of the IEEE Transactions on Computational Intelligence and AI in Games and Genetic Programming and Evolvable Machines, an Editorial Board Member of Memetic Computing, and a past Associate Editor of the IEEE Transactions on Evolutionary Computation.

Dr. Sipper won the 1999 EPFL Latsis Prize, the 2008 BGU Toronto Prize for Academic Excellence in Research, and five HUMIE Awards---Human-Competitive Results Produced by Genetic and Evolutionary Computation (Gold, 2011; Bronze, 2009; Bronze, 2008; Silver, 2007; Bronze, 2005).