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Genetic Programming IV: Routine Human-Competitive Machine Intelligence (v. 4)
 
 
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Genetic Programming IV: Routine Human-Competitive Machine Intelligence (v. 4) [Paperback]

John R. Koza (Author), Martin A. Keane (Author), Matthew J. Streeter (Author), William Mydlowec (Author), Jessen Yu (Author), Guido Lanza (Author)
4.5 out of 5 stars  See all reviews (2 customer reviews)


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Book Description

0387250670 978-0387250670 March 21, 2005
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


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Review

`Genetic Programming IV: Routine Human-Competitive Machine Intelligence, demonstrates the everyday solution of such `holy grail' problems as the automatic synthesis of analog circuits, the design of automatic controllers, and the automated programming of computers. To specialists in any of the fields covered by this book's sample problem areas, I say read this book and discover the computer-augmented inventions that are your destiny. To remaining skeptics who doubt the inventive competence of genetics and evolution, I say read this book and change your mind or risk the strong possibility that your doubts will soon cause you significant intellectual embarrassment.' 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

Product Details

  • Paperback: 624 pages
  • Publisher: Springer (March 21, 2005)
  • Language: English
  • ISBN-10: 0387250670
  • ISBN-13: 978-0387250670
  • Product Dimensions: 9.1 x 6.1 x 1 inches
  • Shipping Weight: 1.9 pounds
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,777,331 in Books (See Top 100 in Books)

 

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8 of 10 people found the following review helpful:
4.0 out of 5 stars Table of contents, December 28, 2007
This review is from: Genetic Programming IV: Routine Human-Competitive Machine Intelligence (v. 4) (Paperback)
Since the "look inside" doesn't contain the toc, here it is from Barnes&Nobles:

Table of Contents
1 Introduction 1
2 Background on genetic programming 29
3 Automatic synthesis of controllers 49
4 Automatic synthesis of circuits 129
5 Automatic synthesis of circuit topology, sizing, placement, and routing 175
6 Automatic synthesis of antennas 205
7 Automatic synthesis of genetic networks 221
8 Automatic synthesis of metabolic pathways 229
9 Automatic synthesis of parameterized topologies for controllers 281
10 Automatic synthesis of parameterized topologies for circuits 301
11 Automatic synthesis of parameterized topologies with conditional developmental operators for circuits 341
12 Automatic synthesis of improved tuning rules for PID controllers 367
13 Automatic synthesis of parameterized topologies for improved controllers 387
14 Reinvention of negative feedback 413
15 Automated reinvention of six post-2000 patented circuits 421
16 Problems for which genetic programming may be well suited 483
17 Parallel implementation and computer time 515
18 Historical perspective on Moore's law and the progression of qualitatively more substantial results produced by genetic programming 523
19 Conclusion 529
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2 of 3 people found the following review helpful:
5.0 out of 5 stars Jaw Dropping Inspiration, June 19, 2008
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This review is from: Genetic Programming IV: Routine Human-Competitive Machine Intelligence (v. 4) (Paperback)
The depth and breadth of what GP can do just isn't known by the techies. This book should scare those that are content to repeat the same old design rules. The book is a bit dry for someone with only a passing interest, but I think that was the author's intent: show in unhyped, and no-uncertain terms that GP can do what we do. For someone with a curious mind, this is proof of a brave new world.
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Inside This Book (learn more)
First Sentence:
The goal of getting computers to automatically solve problems is central to artificial intelligence, machine learning, and the broad area encompassed by what Turing called "machine intelligence" (Turing 1948, 1950). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
variable passband boundary, developmental operators, parameterized topologies, syntactic structure enforces, cubic function generator, perturbable numerical value, executional steps, correct metabolic pathway, parameterized controller, constant numerical terminals, four fitness cases, mathematical expressions containing free variables, developmental genetic programming, parameterized topology, qualitatively more substantial results, modifiable wire, preexisting capacitor, patented circuit, graphical structure whose nodes, voltage balun circuit, signal generation circuit, synthesis using genetic programming, lowpass filter problem, subcircuit definition, subroutine duplication
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Time Figure, Patent Office, Arthur Samuel, Deep Blue, Cell Membrane, Numerical Electromagnetics Code, Initial Circuit Figure, Lackawanna Ferry, Means of Natural Selection, Plant Plant, United States Code, Kluwer Academic Publishers, Automatic Discovery of Reusable Programs, Bennett Andre, Coello Coello, Integrated Circuit Emphasis, Robert Pease, Simulation Program, The New York Times, Average Maximum Fitness, Intelligent Machinery, Problems of Synthesizing Controllers, Program Architecture Each, Units Genetically
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