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Forwarded: [Genetic Programming Book Announcement]
From: |
Ken Cline |
Subject: |
Forwarded: [Genetic Programming Book Announcement] |
Date: |
Thu, 25 Sep 1997 08:34:45 -0400 (EDT) |
For those with an interest in GP...
---------- Forwarded message ----------
Date: Wed, 24 Sep 1997 18:16:21 -0400 (EDT)
From: "Larry R. Schuler" <address@hidden>
To: address@hidden
Subject: Forwarded: [Genetic Programming Book Announcement]
------- Begin Forwarded Message -------
A N N O U N C E M E N T
of a
Genetic Programming Text Book
Wolfgang Banzhaf Peter Nordin Robert E. Keller Frank D. Francone
Genetic Programming --- An Introduction
On the Automatic Evolution of Computer Programs and Its Applications
With a Foreword
by
John R. Koza
Publication date: November 1997
Joint publication by: Morgan Kaufmann Publishers, San Francisco
dpunkt.verlag, Heidelberg
approx. 480 pp., 130 figures
appr. US $ 50,-
ISBN: 1-55860-510-X 3-920993-58-6
CONTENTS
Foreword
Preface
I Prerequisites of Genetic Programming
1 Genetic Programming as Machine Learning
2 Genetic Programming and Biology --- The Analogy
3 Computer Science and Mathematical Basics
4 Genetic Programming as Evolutionary Computation
II Genetic Programming Fundamentals
5 Basic Concepts --- The Foundation
6 Crossover --- The Center of the Storm
7 Genetic Programming and Emergent Order
8 Analysis -- Improving Genetic Programming with Statistics
III Advanced Topics in Genetic Programming
9 Different Varieties of Genetic Programming
10 Advanced Genetic Programming
11 Implementation --- Making Genetic Programming Work
12 Applications of Genetic Programming
13 Summary and Perspectives
Bibliography
Appendix
A Printed and Recorded Resources
B Information Available on the Internet
C GP Software
D Events
Person Index
Subject Index
FROM THE FOREWORD BY J.R. KOZA
Genetic programming addresses the problem of automatic programming,
namely the problem of how to enable a computer to do useful things
without instructing it, step by step, on how to do it. The rapid growth
of the field of genetic programming reflects the growing recognition
that, after half a century of research in the fields of artificial
intelligence, machine learning, adaptive systems, automated logic, expert
systems, and neural networks, we may finally have a way to achieve
automatic programming. Genetic programming is fundamentally different
from other approaches in terms of (i) its representation (namely,
programs), (ii) the role of knowledge (none), (iii) the role of logic
(none), and (iv) its mechanism (gleaned from nature) for getting to a
solution within the space of possible solutions.
FROM THE FIRST SECTION OF THE BOOK
Automated programming will be one of the most important areas of
computer science research over the next twenty years. Hardware
speed and capability has leapt forward exponentially. Yet software
consistently lags years behind the capabilities of the hardware. The
gap appears to be ever increasing. Demand for computer code
keeps growing but the process of writing code is still mired in the
modern day equivalent of the medieval ``guild'' days. Like swords in
the 15th century, muskets before the early 19th century and books
before the printing press, each piece of computer code is, today,
handmade by a craftsman for a particular purpose.
The history of computer programming is a history of attempts to move
away from the ``craftsman'' approach -- structured programming, object
oriented programming, object libraries, rapid prototyping. But each of
these advances leaves the code that does the real work firmly in the
hands of a craftsman, the programmer. The ability to enable computers
to learn to program themselves is of the utmost importance in freeing
the computer industry and the computer user from code that is obsolete
before it is released.
....
Wolfgang Banzhaf
Department of Computer Science
University of Dortmund
GERMANY
http://ls11-www.informatik.uni-dortmund.de/people/banzhaf/
--
See <http://www.cs.umbc.edu/agentslist> for list info & archives.
------- End Forwarded Message -------
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