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Presents the application of Genetic Programming to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways, specifically routine human-competitive machine intelligence.
Includes supplementary material: sn.pub/extras
Part of the book series: Genetic Programming (GPEM, volume 5)
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Table of contents (19 chapters)
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Front Matter
About this book
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes:
GP now delivers routine human-competitive machine intelligence
GP is an automated invention machine
GP can create general solutions to problems in the form of parameterized topologies
GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law
Keywords
- circuit
- computer
- control
- genetic programming
- intelligence
- network
- networks
- programming
Reviews
David E. Goldberg, University of Illinois
`The research reported in this book is a tour de force. For the first time since the idea was bandied about in the 1940s and the early 1950s, we have a set of examples of human-competitive automatic programming.'
John H. Holland, University of Michigan
`John Koza and his colleagues have done remarkable work in advancing the development of genetic programming and applying this to practical problems such as electric circuit design and control system design. I strongly recommend it.'
Bernard Widrow, Electrical Engineering Dept., Stanford University
`John Koza's genetic programming approach to machine discovery can invent solutions to more complex specifications than any other I have seen.'
John McCarthy, Computer Science Dept., Stanford University
Bibliographic Information
Book Title: Genetic Programming IV
Book Subtitle: Routine Human-Competitive Machine Intelligence
Authors: John R. Koza, Martin A. Keane, Matthew J. Streeter, William Mydlowec, Jessen Yu, Guido Lanza
Series Title: Genetic Programming
DOI: https://doi.org/10.1007/b137549
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag US 2003
eBook ISBN: 978-0-387-26417-2Published: 14 September 2005
Series ISSN: 1566-7863
Edition Number: 1
Number of Pages: XXXIV, 590
Topics: Artificial Intelligence, Complex Systems, Electrical and Electronic Engineering, User Interfaces and Human Computer Interaction, Theory of Computation