David L. Poole, Alan K. MackworthCambridge University PressEdition: 2, 9/25/2017EAN 9781107195394, ISBN10: 110719539XHardcover, 820 pages, 26.2 x 18.3 x 3.8 cmLanguage: EnglishArtificial 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 basic approaches fit into a multidimensional design space, readers learn the fundamentals without losing sight of the bigger picture. The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications. Although structured as an undergraduate and graduate textbook, the book's straightforward, self-contained style will also appeal to an audience of professionals, researchers, and independent learners. The second edition is well-supported by strong pedagogical features and online resources to enhance student comprehension.Part I. Agents in the WorldWhat Are Agents and How Can They Be Built?1. Artificial intelligence and agents2. Agent architectures and hierarchical controlPart II. Reasoning, Planning and Learning with Certainty3. Searching for solutions4. Reasoning with constraints5. Propositions and inference6. Planning with certainty7. Supervised machine learningPart III. Reasoning, Learning and Acting with Uncertainty8. Reasoning with uncertainty9. Planning with uncertainty10. Learning with uncertainty11. Multiagent systems12. Learning to actPart IV. Reasoning, Learning and Acting with Individuals and Relations13. Individuals and relations14. Ontologies and knowledge-based systems15. Relational planning, learning, and probabilistic reasoningPart V. Retrospect and Prospect16. Retrospect and prospectPart VI. End MatterAppendix A. Mathematical preliminaries and notation.
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