Causality
Models, Reasoning and Inference. Ausgezeichnet: ACM Turing Award for Transforming Artificial Intelligence 2011
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- 486pages
- 18 heures de lecture
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The book delves into the evolution of causation from a vague concept to a robust mathematical theory, highlighting its applications across various disciplines such as statistics, AI, and economics. Judea Pearl integrates different approaches to causation, providing accessible mathematical tools for exploring causal relationships and statistical associations. This revised edition addresses complex issues and recent advancements, making it valuable for students and professionals alike. Pearl's significant contributions to AI research are also recognized, enhancing the book's credibility in the field.
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Causality, Judea Pearl
- Langue
- Année de publication
- 2010
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- Titre
- Causality
- Sous-titre
- Models, Reasoning and Inference. Ausgezeichnet: ACM Turing Award for Transforming Artificial Intelligence 2011
- Langue
- Anglais
- Auteurs
- Judea Pearl
- Éditeur
- Cambridge University Press
- Publié
- 2010
- Format
- rigide
- Pages
- 486
- ISBN13
- 9780521895606
- Séries
- Mots clés
- Nonfiction, Manuels, Technologie & Ingénierie, Thématique philosophique, Informatique & Internet, Science, Manuels de mathématiques, Intelligence Artificielle
- Évaluation
- 4,15 sur 5
- Description
- The book delves into the evolution of causation from a vague concept to a robust mathematical theory, highlighting its applications across various disciplines such as statistics, AI, and economics. Judea Pearl integrates different approaches to causation, providing accessible mathematical tools for exploring causal relationships and statistical associations. This revised edition addresses complex issues and recent advancements, making it valuable for students and professionals alike. Pearl's significant contributions to AI research are also recognized, enhancing the book's credibility in the field.