Blondie24: playing at the edge of AI
Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection--
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Francisco
Morgan Kaufmann Publishers
© 2002
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| Schriftenreihe: | Evolutionary Computation Ser
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| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext |
| Zusammenfassung: | Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game. Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to strategies employed by human grand masters, or to databases of moves for the endgame moves, or to other human expertise about the game of chekers. With only the most rudimentary information programmed into its "brain," Blondie24 (the program's Internet username) created its own means of evaluating the complex, changing patterns of pieces that make up a checkers game by evolving artificial neural networks---mathematical models that loosely describe how a brain works. It's fitting that Blondie24 should appear in 2001, the year when we remember Arthur C. Clarke's prediction that one day we would succeed in creating a thinking machine. In this compelling narrative, David Fogel, author and co-creator of Blondie24, describes in convincing detail how evolutionary computation may help to bring us closer to Clarke's vision of HAL. Along the way, he gives readers an inside look into the fascinating history of AI and poses provocative questions about its future. * Brings one of the most exciting areas of AI research to life by following the story of Blondie24's development in the lab through her evolution into an expert-rated checkers player, based on her impressive success in Internet competition. * Explains the foundations of evolutionary computation, simply and clearly. * Presents complex material in an engaging style for readers with no background in computer science or artificial intelligence. * Examines foundational issues surrounding the creation of a thinking machine. * Debates whether the famous Turing Test really tests for intelligence. |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource (xvi, 404 pages) illustrations |
| ISBN: | 0585456615 9780585456614 9781558607835 1558607838 9780080500188 0080500188 |
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| 490 | 0 | |a Evolutionary Computation Ser | |
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| 520 | |a Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- | ||
| 520 | |a to discover on its own how to excel at the game. Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to strategies employed by human grand masters, or to databases of moves for the endgame moves, or to other human expertise about the game of chekers. With only the most rudimentary information programmed into its "brain," Blondie24 (the program's Internet username) created its own means of evaluating the complex, changing patterns of pieces that make up a checkers game by evolving artificial neural networks---mathematical models that loosely describe how a brain works. It's fitting that Blondie24 should appear in 2001, the year when we remember Arthur C. Clarke's prediction that one day we would succeed in creating a thinking machine. | ||
| 520 | |a In this compelling narrative, David Fogel, author and co-creator of Blondie24, describes in convincing detail how evolutionary computation may help to bring us closer to Clarke's vision of HAL. Along the way, he gives readers an inside look into the fascinating history of AI and poses provocative questions about its future. * Brings one of the most exciting areas of AI research to life by following the story of Blondie24's development in the lab through her evolution into an expert-rated checkers player, based on her impressive success in Internet competition. * Explains the foundations of evolutionary computation, simply and clearly. * Presents complex material in an engaging style for readers with no background in computer science or artificial intelligence. * Examines foundational issues surrounding the creation of a thinking machine. * Debates whether the famous Turing Test really tests for intelligence. | ||
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| 650 | 4 | |a Machine learning | |
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| author | Fogel, David B. |
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| dewey-full | 006.3 |
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| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
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| discipline | Informatik |
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| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:49Z |
| institution | BVB |
| isbn | 0585456615 9780585456614 9781558607835 1558607838 9780080500188 0080500188 |
| language | English |
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| spelling | Fogel, David B. Verfasser aut Blondie24 playing at the edge of AI David B. Fogel Blondie twenty-four Playing at the edge of AI San Francisco Morgan Kaufmann Publishers © 2002 1 online resource (xvi, 404 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Evolutionary Computation Ser Includes bibliographical references and index Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game. Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to strategies employed by human grand masters, or to databases of moves for the endgame moves, or to other human expertise about the game of chekers. With only the most rudimentary information programmed into its "brain," Blondie24 (the program's Internet username) created its own means of evaluating the complex, changing patterns of pieces that make up a checkers game by evolving artificial neural networks---mathematical models that loosely describe how a brain works. It's fitting that Blondie24 should appear in 2001, the year when we remember Arthur C. Clarke's prediction that one day we would succeed in creating a thinking machine. In this compelling narrative, David Fogel, author and co-creator of Blondie24, describes in convincing detail how evolutionary computation may help to bring us closer to Clarke's vision of HAL. Along the way, he gives readers an inside look into the fascinating history of AI and poses provocative questions about its future. * Brings one of the most exciting areas of AI research to life by following the story of Blondie24's development in the lab through her evolution into an expert-rated checkers player, based on her impressive success in Internet competition. * Explains the foundations of evolutionary computation, simply and clearly. * Presents complex material in an engaging style for readers with no background in computer science or artificial intelligence. * Examines foundational issues surrounding the creation of a thinking machine. * Debates whether the famous Turing Test really tests for intelligence. COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Computer checkers fast Evolutionary computation fast Machine learning fast Cerveaux électroniques ram Machines intelligentes ram Intelligence artificielle ram Artificial intelligence Machine learning Evolutionary computation Computer checkers http://www.sciencedirect.com/science/book/9781558607835 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Fogel, David B. Blondie24 playing at the edge of AI COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Computer checkers fast Evolutionary computation fast Machine learning fast Cerveaux électroniques ram Machines intelligentes ram Intelligence artificielle ram Artificial intelligence Machine learning Evolutionary computation Computer checkers |
| title | Blondie24 playing at the edge of AI |
| title_alt | Blondie twenty-four Playing at the edge of AI |
| title_auth | Blondie24 playing at the edge of AI |
| title_exact_search | Blondie24 playing at the edge of AI |
| title_full | Blondie24 playing at the edge of AI David B. Fogel |
| title_fullStr | Blondie24 playing at the edge of AI David B. Fogel |
| title_full_unstemmed | Blondie24 playing at the edge of AI David B. Fogel |
| title_short | Blondie24 |
| title_sort | blondie24 playing at the edge of ai |
| title_sub | playing at the edge of AI |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Computer checkers fast Evolutionary computation fast Machine learning fast Cerveaux électroniques ram Machines intelligentes ram Intelligence artificielle ram Artificial intelligence Machine learning Evolutionary computation Computer checkers |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Artificial intelligence Computer checkers Evolutionary computation Machine learning Cerveaux électroniques Machines intelligentes Intelligence artificielle |
| url | http://www.sciencedirect.com/science/book/9781558607835 |
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