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.
This textbook presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents.
David Poole is a Professor of Computer Science at the University of British Columbia. He is known for his research on abductive and default reasoning, probabilistic inference, and relational probabilistic models, and he has recently been working on semantic science, combining ontologies, data, and rich probabilistic theories. He is a co-author of Computational Intelligence: A Logical Approach (1998), co-chair of AAAI-10 (Twenty-Fourth AAAI Conference on Artificial Intelligence), and co-editor of the Proceedings of the Tenth Conference in Uncertainty in Artificial Intelligence (1994). Poole is the former associate editor and on the advisory board of the Journal of AI Research. He is an associate editor of AI Journal and on the editorial boards of AI Magazine and AAAI Press. He is the secretary of the Association for Uncertainty in Artificial Intelligence and is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI). Alan Mackworth is a Professor of Computer Science and Canada Research Chair in Artificial Intelligence at the University of British Columbia. He is known for his research on constraint-based systems and agents, hybrid systems, and robot soccer. He is a co-author of Computational Intelligence: A Logical Approach. He was President and Trustee of International Joint Conferences on AI (IJCAI) Inc. Mackworth was Vice President and President of the Canadian Society for Computational Studies of Intelligence (CSCSI). He has served as President of the Association for the Advancement of Artificial Intelligence (AAAI). He also served as the founding Director of the UBC Laboratory for Computational Intelligence. He is a Fellow of AAAI, the Canadian Institute for Advanced Research, and the Royal Society of Canada.
'This book, by two of the foremost researchers in Artificial
Intelligence, marks the transition of the field from a
miscellaneous assortment of unrelated techniques to a genuine
scientific discipline. It presents the fundamental concepts of AI
in a coherent structure, which shows how different techniques are
related and complementary. The book is written in a clear and
engaging manner, which makes it suitable both for the serious
student and for the intellectually curious layperson.' Robert
Kowalski, Imperial College London
'The clarity of this book is amazing! Material in each chapter is a
perfect blend of accessible stuff for beginners, theory and
challenges for advanced students, and reference materials for
experts, organized into sections so you can split off the right
bits for your students. Its like having three textbooks in one!
Definitely the must-have textbook on AI for the 21st century. I
know mine will be within reach for years to come.' Jesse Hoey,
University of Dundee
'This book fills a real gap in the AI literature. It is accessible
for advanced undergraduate students, without compromising technical
rigor. It is concise, but still gives a modern presentation of all
major areas of AI. It is an eminently useful textbook for
introductory courses to AI. Poole and Mackworth have made a valiant
effort to impose some order on the wide and heterogeneous field of
Artificial Intelligence. In this order, all of AI is placed in a
design space for intelligent agents defined by dimensions of
complexity.' Manfred Jaeger, Aalborg University
'This text is a modern and coherent introduction to the field of
Artificial Intelligence that uses rational computational agents and
logic as unifying threads in this vast field. Many fully worked out
examples, a good collection of paper-and-pencil exercises at
various levels of difficulty, programming assignments based on the
custom-designed declarative AILog language, and well-integrated
online support through the AISpace applets complement the
presentation. If you plan to teach a course in Artificial
Intelligence at the upper-division undergraduate level or beyond,
you must give serious consideration to this thoroughly enjoyable
book.' Marco Valtorta, University of South Carolina
'The book covers a great variety of topics and every matter is
presented with the best care for the understanding of the reader.
The book is addressed to anyone who is interested in designing a
smart agent: the explanations are very generous, but without being
exaggerated … reading the text, the excitement of the authors about
AI becomes obvious and even contagious. Even specialists in this
field will find precious information and delightful
interpretations. Without a shred of doubt, this textbook will very
soon become basic material for the courses of AI at universities
worldwide.' Zentralblatt MATH
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