Artificial Life VII
The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand...
保存先:
| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
The MIT Press
2022
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| 主題: | |
| オンライン･アクセス: | ONIX_20220221_9780262291071_24 |
| タグ: |
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| _version_ | 1869514430845288448 |
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| collection | Directory of Open Access Books |
| description | The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand high-level behavior from low-level rules—for example, how the simple interactions between ants and their environment lead to complex trail-following behavior. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science. |
| format | Online |
| id | doab-20.500.12854ir-78504 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | The MIT Press |
| publisherStr | The MIT Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-785042024-04-14T10:28:25Z Artificial Life VII Bedau, Mark A. McCaskill, John S. Packard, Norman H. Rasmussen, Steen Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand high-level behavior from low-level rules—for example, how the simple interactions between ants and their environment lead to complex trail-following behavior. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science. 2022-02-21T15:10:06Z 2022-02-21T15:10:06Z 2000 book ONIX_20220221_9780262291071_24 9780262291071 9780262522908 https://directory.doabooks.org/handle/20.500.12854/78504 eng Complex Adaptive Systems image/jpeg n/a https://doi.org/10.7551/mitpress/1432.001.0001 The MIT Press A Bradford Book 10.7551/mitpress/1432.001.0001 10.7551/mitpress/1432.001.0001 ae0cf962-f685-4933-93d1-916defa5123d 9780262291071 9780262522908 A Bradford Book 576 Cambridge open access |
| spellingShingle | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Artificial Life VII |
| title | Artificial Life VII |
| title_full | Artificial Life VII |
| title_fullStr | Artificial Life VII |
| title_full_unstemmed | Artificial Life VII |
| title_short | Artificial Life VII |
| title_sort | artificial life vii |
| topic | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | ONIX_20220221_9780262291071_24 |