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Artificial Intelligence


  • 187 b/w illus. 173 exercises
  • Page extent: 0 pages

Adobe eBook Reader

 (ISBN-13: 9780511730924)


• Presents a coherent development of AI theory in terms of design space for building an intelligent agent • Offers practical descriptions of algorithms, linked to theory • Offers animations of the main algorithms in AIspace ( • Provides various routes through the material to allow for a variety of different one-term or two-term courses


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.






'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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