Adaptation in Natural and Artificial Systems
An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
Book •
Adaptation in Natural and Artificial Systems is a seminal work by John H. Holland, published in 1975, which laid the foundations for the field of genetic algorithms and evolutionary computation.
The book explores how the principles of adaptation observed in natural systems can be applied to design artificial systems that can learn, adapt, and solve complex problems.
Holland introduces the concept of genetic algorithms as a computational method inspired by natural selection, where populations of candidate solutions evolve over time through processes of selection, crossover, and mutation.
He demonstrates how these algorithms can be used to optimize solutions in various domains, including machine learning, control systems, and pattern recognition.
The book explores how the principles of adaptation observed in natural systems can be applied to design artificial systems that can learn, adapt, and solve complex problems.
Holland introduces the concept of genetic algorithms as a computational method inspired by natural selection, where populations of candidate solutions evolve over time through processes of selection, crossover, and mutation.
He demonstrates how these algorithms can be used to optimize solutions in various domains, including machine learning, control systems, and pattern recognition.
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Liane Gabora
What's Changing Human Evolution? - Dr. Liane Gabora (Part 2) , DemystifySci #391
