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Adaptation in natural and artificial systems : an introductory analysis with applications to biology, control, and artificial intelligence / John H. Holland

A study of the theoretical foundations of genetic algorithms and their application to complex adaptive systems. The text examines mathematical models for adaptation across biology, economics, and artificial intelligence, focusing on nonlinear interactions.

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Accession Number: 17126

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vernon_authors	John H. Holland
vernon_tags	Life sciences, Genetic algorithms, Technology, Systems engineering, Biology, Mathematics, Algorithms, Algebra, Artificial intelligence, Cognitive science, Game theory, Science, Mathematical models, Simulation methods, Engineering, Adaptation (Biology)
vernon_production_date	1993
vernon_brief_description	Genetic algorithms are playing an increasingly important role in the studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. This is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. -- Adapted from publisher's description.
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