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Artificial intelligence / Stuart Russell

Public ISBD Titre : Artificial intelligence : a modern approach Type de document : texte imprimé Auteurs : Stuart Russell, Auteur ; Peter Norvig, Auteur Mention d'édition : 2nd. ed. Editeur : Upper Saddle River, New Jersey : Pearson/Prentice Hall Année de publication : 2003 Collection : Prentice Hall Series in Artificial Intelligence Importance : 1081p. Présentation : couv. ill. en coul., ill. Format : 25 cm. ISBN/ISSN/EAN : 978-0-13-080302-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-08 Robotique.Application et simulation Résumé : The first edition of Artificial Intelligence: A Modern Approach has become a classic in the AI literature. It has been adopted by over 600 universities in 60 countries, and has been praised as the definitive synthesis of the field. In the second edition, every chapter has been extensively rewritten. Significant new material has been introduced to cover areas such as constraint satisfaction, fast propositional inference, planning graphs, internet agents, exact probabilistic inference, Markov Chain Monte Carlo techniques, Kalman filters, ensemble learning methods, statistical learning, probabilistic natural language models, probabilistic robotics, and ethical aspects of AI. The book is supported by a suite of online resources including source code, figures, lecture slides, a directory of over 800 links to "AI on the Web," and an online discussion group. All of this is available at: aima.cs.berkeley.edu Note de contenu : Summary of contents I Artificial Intelligence II Problem-Solving III Knowledge and Reasoning 7 Logical Agents 8 First-Order Logic 9 Inference in First-Order Logic 10 Knowledge Representation IV Planning 11 Planning 12 Planning and Acting in the Read World V Uncertain Knowledge and Reasoning 13 Uncertainty 14 Probabilistic Reasoning Systems 15 Probabilistic Reasoning Over Time 16 Making Simple Decisions 17 Making Complex Decisions VI Learning 18 Learning from Observations 19 Knowledge in Learning 20 Statistical Learning Methods 21 Reinforcement Learning VII Communicating, Perceiving, and Acting 22 Communication 23 Probabilistic language Processing 24 Perception 25 Robotics VIII Conclusions Artificial intelligence : a modern approach [texte imprimé] / Stuart Russell, Auteur ; Peter Norvig, Auteur  . -  2nd. ed. . - Upper Saddle River, New Jersey : Pearson/Prentice Hall, 2003 . - 1081p. : couv. ill. en coul., ill. ; 25 cm.. - (Prentice Hall Series in Artificial Intelligence) . ISBN : 978-0-13-080302-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-08 Robotique.Application et simulation Résumé : The first edition of Artificial Intelligence: A Modern Approach has become a classic in the AI literature. It has been adopted by over 600 universities in 60 countries, and has been praised as the definitive synthesis of the field. In the second edition, every chapter has been extensively rewritten. Significant new material has been introduced to cover areas such as constraint satisfaction, fast propositional inference, planning graphs, internet agents, exact probabilistic inference, Markov Chain Monte Carlo techniques, Kalman filters, ensemble learning methods, statistical learning, probabilistic natural language models, probabilistic robotics, and ethical aspects of AI. The book is supported by a suite of online resources including source code, figures, lecture slides, a directory of over 800 links to "AI on the Web," and an online discussion group. All of this is available at: aima.cs.berkeley.edu Note de contenu : Summary of contents I Artificial Intelligence II Problem-Solving III Knowledge and Reasoning 7 Logical Agents 8 First-Order Logic 9 Inference in First-Order Logic 10 Knowledge Representation IV Planning 11 Planning 12 Planning and Acting in the Read World V Uncertain Knowledge and Reasoning 13 Uncertainty 14 Probabilistic Reasoning Systems 15 Probabilistic Reasoning Over Time 16 Making Simple Decisions 17 Making Complex Decisions VI Learning 18 Learning from Observations 19 Knowledge in Learning 20 Statistical Learning Methods 21 Reinforcement Learning VII Communicating, Perceiving, and Acting 22 Communication 23 Probabilistic language Processing 24 Perception 25 Robotics VIII Conclusions

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
950	25-08-25	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	950
951	25-08-25	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	951