Illustrating evolutionary computation with Mathematica

An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation wi...

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Detalles Bibliográficos
Autor principal: Jacob, Christian (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: San Francisco : Morgan Kaufmann Pub c2001.
Edición:1st edition
Colección:The Morgan Kaufmann Series in Artificial Intelligence
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627949306719
Descripción
Sumario:An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this fascinating and increasingly important field. Unique among books on evolutionary computation, the book also explores the application of evolution to developmental processes in n
Notas:Description based upon print version of record.
Descripción Física:1 online resource (605 p.)
Bibliografía:Includes bibliographical references (p. [527]-546) and index.
ISBN:9781281754950
9786611754952
9780080508450
9780585457079