David L. Poole, Alan K. Mackworth
Artificial Intelligence (eBook, PDF)
Foundations of Computational Agents
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David L. Poole, Alan K. Mackworth
Artificial Intelligence (eBook, PDF)
Foundations of Computational Agents
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A comprehensive learning resource for undergraduate and graduate students, with new chapters on deep learning, causality, and social impact.
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A comprehensive learning resource for undergraduate and graduate students, with new chapters on deep learning, causality, and social impact.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Erscheinungstermin: 13. Juli 2023
- Englisch
- ISBN-13: 9781009258210
- Artikelnr.: 70913218
- Verlag: Cambridge University Press
- Erscheinungstermin: 13. Juli 2023
- Englisch
- ISBN-13: 9781009258210
- Artikelnr.: 70913218
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.
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.
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.
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.