03582nam a22004698i 4500 000389632 UkCbUP 20220107135832.0 20190906104116.0 m|||||o||d|||||||| cr|||||||||||| 161005s2017||||enk o ||1 0|eng|d NEZPRACOVANÝ IMPORT 9781108164085 (ebook) 9781107195394 (hardback) UkCbUP eng rda UkCbUP Q342 .P66 2017 006.3 23 Poole, David L. (David Lynton), 1958- author. Artificial intelligence : foundations of computational agents / David L. Poole, Alan K. Mackworth. Second edition. Cambridge : Cambridge University Press, 2017. 1 online resource (xxviii, 792 pages) : digital, PDF file(s). text txt rdacontent computer c rdamedia online resource cr rdacarrier Title from publisher's bibliographic system (viewed on 12 Aug 2019). 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. 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 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. elektronické knihy fd186907 czenas electronic books eczenas Computational intelligence Textbooks. Artificial intelligence Textbooks. Mackworth, Alan K., author. Print version: 9781107195394 https://knihovna.vse.cz/zdroje/cambridge-core-books-and-textbooks/?info Informace o práci s e-knihami https://zdroje.vse.cz/login?url=https://doi.org/10.1017/9781108164085 Plný text CAMBRIDGE-EBA EB NEPOSILAT EB