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.
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.
Inhaltsangabe
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.
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.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826
