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Genetic Programming III

Darwinian Invention and Problem Solving

John R. Koza, Forrest H. Bennett, David Andre, Martin A. Keane (Autoren)

VHS Video
1154 Seiten
1999
Morgan Kaufmann Publishers In (Hersteller)
978-1-55860-617-3 (ISBN)
CHF 119,95 inkl. MwSt
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Genetic programming is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, optimal control, classification, system identification, function learning, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.

Researchers in artificial intelligence, machine learning, evolutionary computation, and genetic algorithms will find this an essential reference to the most recent and most important results in the rapidly growing field of genetic programming.

John R. Koza is a consulting professor in the Section on Medical Informatics, Department of Medicine, School of Medicine at Stanford University. Forrest H Bennett III is chief scientist of Genetic Programming Inc., Los Altos, California. David Andre is a Ph.D. student in the Computer Science Division at the University of California at Berkeley. Martin A. Keane is chief scientist of Econometrics, Inc., Chicago. Scott Brave is a research assistant in the Tangible Media Group at the MIT Media Laboratory.

I. Introduction
II. Background
III. Architecture-Altering Operations
IV. Genetic Programming Problem Solver (GPPS)
V. Automated Synthesis of Analog Electrical Circuits
VI. Evolvable Hardware
VII. Discovery of Cellular Automata Rules
VIII. Discovery of Motifs and Programmatic Motifs for Molecular Biology
IX. Parallelization and Implementation Issues
X. Conclusion

Erscheint lt. Verlag 26.8.1999
Verlagsort San Francisco
Sprache englisch
Gewicht 170 g
Themenwelt Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Technik ► Nachrichtentechnik
ISBN-10 1-55860-617-3 / 1558606173
ISBN-13 978-1-55860-617-3 / 9781558606173
Zustand Neuware
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