New Book / Genetic Programming IV: Routine Human-Competitive Machine Intelligence / 25% discount coupon / 42-minute DVD included / PDF of chapter 1 available

["John Koza" <john@johnkoza.com>]

Hello All:

Genetic programming (GP) is method for automatically creating computer
programs. It starts from a high-level statement of what needs to be done and
uses the Darwinian principle of natural selection to breed a population of
improving programs over many generations.

The book describes 15 instances where GP has created an entity that either
infringes or duplicates the functionality of a previously patented
20th-century inventions, 6 instances where it has done the same with respect
to post-2000 patented inventions, 2 instances where GP has created
patentable new inventions, and 13 other human-competitive results.

The new book "Genetic Programming IV: Routine Human-Competitive Machine
Intelligence" has 4 main points:

· 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.

The book presents the application of GP to a wide variety of problems
involving
automated synthesis of controllers, circuits, antennas, genetic networks,
and metabolic pathways.

A 42-minute video overview of the book is contained in a DVD that comes with
the book.

Additional information is available at
http://www.genetic-programming.org/gpbook4toc.html


-----------------------
Chapter 1 in PDF format
-----------------------
To read chapter 1 in PDF format, visit
http://www.genetic-programming.org/gpbook4toc.html


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Comments on the Book
--------------------
“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

“In 1992, John Koza published his first book on genetic programming and
forever changed the world of computation. At the time, many researchers,
myself included, were skeptical about whether the idea of using genetic
algorithms directly to evolve programs would ever amount to much. But scores
of conquered problems and three additional books makes the case utterly
persuasive. The latest contribution, 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. This would be impressive enough, but the book also shows how to
evolve whole families of solutions to entire classes of problems in a single
run. Such parametric GP is a significant achievement, and I believe it
foreshadows generalized evolution of complex contingencies as an everyday
matter. To artificial evolutionaries of all stripes, I recommend that you
read this book and breath in its thoughtful mechanism and careful empirical
method. 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 adaptive filters and neural networks that I have worked with over many
years are self-optimizing systems where the relationship between performance
(usually mean-square-error) and parameter settings (weights) is continuous.
Optimization by gradient methods works well for these systems. Now, this
book describes a wider class of optimization problems where the relationship
between performance (fitness) and parameters is highly disjoint, and
self-optimization is achieved by nature-inspired genetic algorithms
involving random search (mutation) and crossover (sexual reproduction). 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. What is ingenious
about their work is that they have found ways to approach design problems by
parameterizing both physical and topological variables into a common code
that can be subjected to genetic programming for optimization. It is amazing
how this approach finds optimized solutions that are not obvious to the best
human experts. This fine book gives an accounting of the latest work in
genetic programming, and it is ‘must reading’ for those interested in
adaptive and learning systems, neural networks, fuzzy systems, artificial
intelligence, and neurobiology. I strongly recommend it.
— Bernard Widrow, Electrical Engineering Department, 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 Department, Stanford University


-----------------
Ordering the Book
-----------------
The book can be purchased using a 25% discount coupon
in PDF format (expiring September 30, 2003) at
http://www.genetic-programming.org/gp4discount25sept30.pdf.

After September 30, 2003, the book (ISBN 1-4020-7446-8) can also
be ordered at the regular price from Kluwer Academic Publishers at
http://www.wkap.nl/
Kluwer Academic Publishers
P.O. Box 358 - Accord Station
Hingham, MA 02018-0358 USA
Telephone : (781) 871-6600
Toll Free Phone: (866) 269-9527
Fax : (781) 681-9045
E-mail : kluwer@wkap.com


Cheers.

John R. Koza

Consulting Professor
Biomedical Informatics
Department of Medicine
Medical School Office Building (MC 5479)
Stanford University
Stanford, California 94305-5479

Consulting Professor
Department of Electrical Engineering
School of Engineering
Stanford University

PREFERRED MAILING ADDRESS:
Post Office Box K
Los Altos, CA 94023-4011 USA

Phone: 650-941-0336
Fax: 650-941-9430
E-Mail: koza@stanford.edu
WWW Home Page: http://www.smi.stanford.edu/people/koza

For information about field of genetic programming in general:
http://www.genetic-programming.org

For information about Genetic Programming Inc.:
http://www.genetic-programming.com

For genetic programming bibliography, visit
http://liinwww.ira.uka.de/bibliography/Ai/genetic.programming.html

For information about the Genetic Programming book series from Kluwer
Academic Publishers, visit http://www.genetic-programming.org/gpkluwer.html

For information about the annual Euro-Genetic-Programming Conference to be
held in April 5-7, 2004 (Monday-Wednesday) at the University of Coimbra in
Coimbra Portugal, visit http://www.evonet.info/eurogp2004/

For information about the annual Genetic and Evolutionary Computation
Conference (GECCO) (which includes the annual Genetic Programming
Conference) to be held in Seattle on June 26-30, 2004 (Saturday - Wednesday)
and the International Society on Genetic and Evolutionary Computation that
operates the conference, visit: http://www.isgec.org/