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. Reasoning, Planning and Learning with Certainty: 3. Searching for solutions; 4. Reasoning with constraints; 5. Propositions and inference; 6. Planning with certainty; 7. Supervised machine learning; Part III. Reasoning, Learning and Acting with Uncertainty: 8. Reasoning with uncertainty; 9. Planning with uncertainty; 10. Learning with uncertainty; 11. Multiagent systems; 12. Learning to act; Part IV. Reasoning, Learning and Acting with Individuals and Relations: 13. Individuals and relations; 14. Ontologies and knowledge-based systems; 15. Relational planning, learning, and probabilistic reasoning; Part V. Retrospect and Prospect: 16. Retrospect and prospect; Part VI. End Matter: Appendix A. Mathematical preliminaries and notation.
Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.
David L. Poole is a Professor of Computer Science at the University of British Columbia. He is a co-author of three artificial intelligence books including Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (2016). He is a former Chair of the Association for Uncertainty in Artificial Intelligence, the winner of the Canadian AI Association (CAIAC) 2013 Lifetime Achievement Award, and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and CAIAC. Alan K. Mackworth is a Professor of Computer Science at the University of British Columbia. He has authored over 130 papers and co-authored two books: Computational Intelligence: A Logical Approach (1997) and Artificial Intelligence: Foundations of Computational Agents (2010). His awards include the Artificial Intelligence Journal (AIJ) Classic Paper Award and the Association of Constraint Programming (ACP) Award for Research Excellence. He has served as President of the International Joint Conference on Artificial Intelligence (IJCAI), the Association for the Advancement of Artificial Intelligence (AAAI) and the Canadian AI Association (CAIAC). He is a Fellow of AAAI, CAIAC and the Royal Society of Canada.
'This new edition of the already classic Introduction to Artificial
Intelligence by Poole and Mackworth provides a broad coverage of
the symbolic and non-symbolic approaches underpinning the main
current and future approaches to AI. It combines an accessible
treatment of the underlying theory with practical examples that
bring the theory to life. It is essential reading for anyone who
wants to understand the current state of the art, and to be
prepared for the future.' Robert Kowalski, Imperial College
London
'Poole and Mackworth provide a crystal clear introduction to
artificial intelligence. Their book paints a complete picture of
the field, from the logical foundations to the latest breakthroughs
in learning, representation, reasoning, and multi-agent systems.
The authors view AI as the integration of a diverse set of
technologies. Layer by layer, they introduce all the techniques
required to build an intelligent agent. The book stands out as
being both comprehensive and uncompromising, limiting the material
to the most promising and intellectually gratifying topics.' Guy
Van den Broeck, University of California, Los Angeles
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