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Beschreibung
"Fully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and graduate students. Includes new chapters on deep learning including generative AI, causality and social impact, new social impact sections, major revisions to knowledge graphs, reasoning and decision-making, and more AIPython code"--
"Fully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and graduate students. Includes new chapters on deep learning including generative AI, causality and social impact, new social impact sections, major revisions to knowledge graphs, reasoning and decision-making, and more AIPython code"--
Über den Autor
David L. Poole is Professor of Computer Science at the University of British Columbia. He is a former chair of the Association for Uncertainty in Artificial Intelligence, the winner of the Canadian AI Association (CAIAC) Lifetime Achievement Award, and is a Fellow of AAAI and CAIAC.
Inhaltsverzeichnis
Preface; Part I. Agents in the World: 1. Artificial intelligence and agents; 2. Agent architectures and hierarchical control; Part II. Reasoning and Planning with Certainty: 3. Searching for solutions; 4. Reasoning with constraints; 5. Propositions and inference; 6. Deterministic planning; Part III. Learning and Reasoning with Uncertainty: 7. Supervised machine learning; 8. Neural networks and deep learning; 9. Reasoning with uncertainty; 10. Learning with uncertainty; 11. Causality; Part IV. Planning and Acting with Uncertainty; 12. Planning with uncertainty; 13. Reinforcement learning; 14. Multiagent systems; Part V. Representing Individuals and Relations: 15. Individuals and relations; 16. Knowledge graphs and ontologies; 17. Relational learning and probabilistic reasoning; Part VI. The Big Picture: 18. The social impact of artificial intelligence; 19. Retrospect and prospect; Appendices; References; Index of Algorithms; Index.
Details
Erscheinungsjahr: | 2023 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Seiten: | 900 |
ISBN-13: | 9781009258197 |
ISBN-10: | 1009258192 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Poole, David L.
Mackworth, Alan K. |
Auflage: | 3nd edtion |
Hersteller: | Cambridge University Pr. |
Abbildungen: | Worked examples or Exercises |
Maße: | 260 x 188 x 45 mm |
Von/Mit: | David L. Poole (u. a.) |
Erscheinungsdatum: | 19.10.2023 |
Gewicht: | 1,964 kg |
Über den Autor
David L. Poole is Professor of Computer Science at the University of British Columbia. He is a former chair of the Association for Uncertainty in Artificial Intelligence, the winner of the Canadian AI Association (CAIAC) Lifetime Achievement Award, and is a Fellow of AAAI and CAIAC.
Inhaltsverzeichnis
Preface; Part I. Agents in the World: 1. Artificial intelligence and agents; 2. Agent architectures and hierarchical control; Part II. Reasoning and Planning with Certainty: 3. Searching for solutions; 4. Reasoning with constraints; 5. Propositions and inference; 6. Deterministic planning; Part III. Learning and Reasoning with Uncertainty: 7. Supervised machine learning; 8. Neural networks and deep learning; 9. Reasoning with uncertainty; 10. Learning with uncertainty; 11. Causality; Part IV. Planning and Acting with Uncertainty; 12. Planning with uncertainty; 13. Reinforcement learning; 14. Multiagent systems; Part V. Representing Individuals and Relations: 15. Individuals and relations; 16. Knowledge graphs and ontologies; 17. Relational learning and probabilistic reasoning; Part VI. The Big Picture: 18. The social impact of artificial intelligence; 19. Retrospect and prospect; Appendices; References; Index of Algorithms; Index.
Details
Erscheinungsjahr: | 2023 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Seiten: | 900 |
ISBN-13: | 9781009258197 |
ISBN-10: | 1009258192 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Poole, David L.
Mackworth, Alan K. |
Auflage: | 3nd edtion |
Hersteller: | Cambridge University Pr. |
Abbildungen: | Worked examples or Exercises |
Maße: | 260 x 188 x 45 mm |
Von/Mit: | David L. Poole (u. a.) |
Erscheinungsdatum: | 19.10.2023 |
Gewicht: | 1,964 kg |
Warnhinweis