Artificial intelligence : foundations of computational agents /
Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the methods that have been proven to work. The...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
[2023].
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| Edition: | Third edition. |
| Subjects: |
Table of Contents:
- 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.