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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| Format: | eBook |
| Language: | Inglés |
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San Francisco :
Morgan Kaufmann Pub
c2001.
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| Edition: | 1st edition |
| Series: | The Morgan Kaufmann Series in Artificial Intelligence
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627949306719 |
| Summary: | 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 |
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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (605 p.) |
| Bibliography: | Includes bibliographical references (p. [527]-546) and index. |
| ISBN: | 9781281754950 9786611754952 9780080508450 9780585457079 |
