Artificial intelligence: a new synthesis
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Francisco, Calif.
Morgan Kaufmann Publishers
[1998]
|
| Schlagworte: | |
| Online-Zugang: | DE-1046 DE-1046 Volltext |
| Beschreibung: | Includes bibliographical references (pages 453-492) and index Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index |
| Beschreibung: | 1 Online-Ressource (xxi, 513 Seiten) Illustrationen, Diagramme |
| ISBN: | 9780080499451 |
| DOI: | 10.1016/C2009-0-27773-7 |
Internformat
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| 500 | |a Includes bibliographical references (pages 453-492) and index | ||
| 500 | |a Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index | ||
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Datensatz im Suchindex
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| discipline | Informatik |
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| isbn | 9780080499451 |
| language | English |
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| physical | 1 Online-Ressource (xxi, 513 Seiten) Illustrationen, Diagramme |
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| spelling | Nilsson, Nils J. 1933-2019 Verfasser (DE-588)11005248X aut Artificial intelligence a new synthesis Nils J. Nilsson San Francisco, Calif. Morgan Kaufmann Publishers [1998] © 1998 1 Online-Ressource (xxi, 513 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 453-492) and index Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index Intelligence artificielle COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Künstliche Intelligenz swd Maschinelles Lernen swd Künstliche Intelligenz Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Lernen (DE-588)4193754-5 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781558604674 https://doi.org/10.1016/C2009-0-27773-7 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Nilsson, Nils J. 1933-2019 Artificial intelligence a new synthesis Intelligence artificielle COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Künstliche Intelligenz swd Maschinelles Lernen swd Künstliche Intelligenz Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4193754-5 |
| title | Artificial intelligence a new synthesis |
| title_auth | Artificial intelligence a new synthesis |
| title_exact_search | Artificial intelligence a new synthesis |
| title_full | Artificial intelligence a new synthesis Nils J. Nilsson |
| title_fullStr | Artificial intelligence a new synthesis Nils J. Nilsson |
| title_full_unstemmed | Artificial intelligence a new synthesis Nils J. Nilsson |
| title_short | Artificial intelligence |
| title_sort | artificial intelligence a new synthesis |
| title_sub | a new synthesis |
| topic | Intelligence artificielle COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Künstliche Intelligenz swd Maschinelles Lernen swd Künstliche Intelligenz Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Intelligence artificielle COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Artificial intelligence Künstliche Intelligenz Maschinelles Lernen |
| url | https://doi.org/10.1016/C2009-0-27773-7 |
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