Genetic Programming IV

Genetic Programming IV
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Routine Human-Competitive Machine Intelligence
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Artikel-Nr:
9780387264172
Veröffentl:
2005
Einband:
PDF
Seiten:
590
Autor:
Martin A. Keane
Serie:
Genetic Programming
eBook Typ:
PDF
eBook Format:
PDF
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

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
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

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