Koza / Keane / Streeter Genetic Programming IV

Routine Human-Competitive Machine Intelligence
1. Auflage 2005
ISBN: 978-0-387-26417-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 5, 606 Seiten, eBook

Reihe: Genetic Programming

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 intelligenceGP is an automated invention machineGP can create general solutions to problems in the form of parameterized topologiesGP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law

Zielgruppe

Research

Autoren/Hrsg.

Koza, John R.

Keane, Martin A.

Streeter, Matthew J.

Mydlowec, William

Yu, Jessen

Lanza, Guido

Inhaltsverzeichnis

Background on Genetic Programming.- Automatic Synthesis of Controllers.- Automatic Synthesis of Circuits.- Automatic Synthesis of Circuit Topology, Sizing, Placement, and Routing.- Automatic Synthesis of Antennas.- Automatic Synthesis of Genetic Networks.- Automatic Synthesis of Metabolic Pathways.- Automatic Synthesis of Parameterized Topologies for Controllers.- Automatic Synthesis of Parameterized Topologies for Circuits.- Automatic Synthesis of Parameterized Topologies with Conditional Developmental Operators for Circuits.- Automatic Synthesis of Improved Tuning Rules for PID Controllers.- Automatic Synthesis of Parameterized Topologies for Improved Controllers.- Reinvention of Negative Feedback.- Automated Reinvention of Six Post-2000 Patented Circuits.- Problems for Which Genetic Programming May Be Well Suited.- Parallel Implementation and Computer Time.- Historical Perspective on Moore’s Law and the Progression of Qualitatively More Substantial Results Produced by Genetic Programming.- Conclusion.