Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial
Artificial intelligence foundations of computational agents
β Scribed by Mackworth, Alan K.;Poole, David L
- Publisher
- Cambridge Univ. Press
- Year
- 2011
- Tongue
- English
- Leaves
- 682
- Edition
- Reprinted
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Machine generated contents note: Part I. Agents in the World: What Are Agents and How Can They Be Built?: 1. Artificial intelligence and agents; 2. Agent architectures and hierarchical control; Part II. Representing and Reasoning: 3. States and searching; 4. Features and constraints; 5. Propositions and inference; 6. Reasoning under uncertainty; Part III. Learning and Planning: 7. Learning: overview and supervised learning; 8. Planning with certainty; 9. Planning under uncertainty; 10. Multiagent systems; 11. Beyond supervised learning; Part IV. Reasoning about Individuals and Relations: 12. Individuals and relations; 13. Ontologies and knowledge-based systems; 14. Relational planning, learning and probabilistic reasoning; Part V. The Big Picture: 15. Retrospect and prospect; Appendix A. Mathematical preliminaries and notation.
β¦ Table of Contents
Machine generated contents note: Part I. Agents in the World: What Are Agents and How Can They Be Built?: 1. Artificial intelligence and agents
2. Agent architectures and hierarchical control
Part II. Representing and Reasoning: 3. States and searching
4. Features and constraints
5. Propositions and inference
6. Reasoning under uncertainty
Part III. Learning and Planning: 7. Learning: overview and supervised learning
8. Planning with certainty
9. Planning under uncertainty
10. Multiagent systems
11. Beyond supervised learning
Part IV. Reasoning about Individuals and Relations: 12. Individuals and relations
13. Ontologies and knowledge-based systems
14. Relational planning, learning and probabilistic reasoning
Part V. The Big Picture: 15. Retrospect and prospect
Appendix A. Mathematical preliminaries and notation.
β¦ Subjects
Lehrbuch;Artificial intelligence;Artificial intelligence--Textbooks;Computational intelligence;Computational intelligence--Textbooks;KΓΌnstliche Intelligenz;Textbooks;Computational intelligence -- Textbooks;Artificial intelligence -- Textbooks;KuΜnstliche Intelligenz
π SIMILAR VOLUMES
Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial
Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of intelligent computational agents. By showing how the b
''Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artifici
AIPython contains runnable code for the book Artificial Intelligence, foundations of computational agents, 3rd Edition[Poole and Mackworth, 2023]. It has the following design goals β’ Readability is more important than efficiency, although the asymptotic complexity is not compromised. AIP
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. Th