Artificial intelligence: foundations of computational agents
Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial intelligence (AI) using a coherent framework to study the desi...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2010
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| Schlagworte: | |
| Online-Zugang: | UER01 Volltext |
| Zusammenfassung: | Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners. AI is a rapidly developing field: this book encapsulates the latest results without being exhaustive and encyclopedic. The text is supported by an online learning environment, AIspace, http://aispace.org, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system, AIlog, for experimentation and problem solving |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xvii, 662 pages) |
| ISBN: | 9780511794797 |
| DOI: | 10.1017/CBO9780511794797 |
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| 500 | |a Title from publisher's bibliographic system (viewed on 05 Oct 2015) | ||
| 505 | 8 | |a 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 | |
| 520 | |a Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners. AI is a rapidly developing field: this book encapsulates the latest results without being exhaustive and encyclopedic. The text is supported by an online learning environment, AIspace, http://aispace.org, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system, AIlog, for experimentation and problem solving | ||
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| 650 | 4 | |a Artificial intelligence / Textbooks | |
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Datensatz im Suchindex
| _version_ | 1804176887644160000 |
|---|---|
| any_adam_object | |
| author | Poole, David L. 1958- |
| author_GND | (DE-588)141818018 (DE-588)141818115 |
| author_facet | Poole, David L. 1958- |
| author_role | aut |
| author_sort | Poole, David L. 1958- |
| author_variant | d l p dl dlp |
| building | Verbundindex |
| bvnumber | BV043943614 |
| classification_rvk | ST 300 |
| collection | ZDB-20-CBO |
| contents | 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 |
| ctrlnum | (ZDB-20-CBO)CR9780511794797 (OCoLC)992909316 (DE-599)BVBBV043943614 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1017/CBO9780511794797 |
| format | Electronic eBook |
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| spelling | Poole, David L. 1958- Verfasser (DE-588)141818018 aut Artificial intelligence foundations of computational agents David L. Poole, Alan K. Mackworth Cambridge Cambridge University Press 2010 1 online resource (xvii, 662 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners. AI is a rapidly developing field: this book encapsulates the latest results without being exhaustive and encyclopedic. The text is supported by an online learning environment, AIspace, http://aispace.org, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system, AIlog, for experimentation and problem solving Künstliche Intelligenz Computational intelligence / Textbooks Artificial intelligence / Textbooks Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Künstliche Intelligenz (DE-588)4033447-8 s Informatik (DE-588)4026894-9 s DE-188 Mackworth, Alan K. 1945- Sonstige (DE-588)141818115 oth Erscheint auch als Druckausgabe 978-0-521-51900-7 https://doi.org/10.1017/CBO9780511794797 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Poole, David L. 1958- Artificial intelligence foundations of computational agents 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 Künstliche Intelligenz Computational intelligence / Textbooks Artificial intelligence / Textbooks Künstliche Intelligenz (DE-588)4033447-8 gnd Informatik (DE-588)4026894-9 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4026894-9 (DE-588)4123623-3 |
| title | Artificial intelligence foundations of computational agents |
| title_auth | Artificial intelligence foundations of computational agents |
| title_exact_search | Artificial intelligence foundations of computational agents |
| title_full | Artificial intelligence foundations of computational agents David L. Poole, Alan K. Mackworth |
| title_fullStr | Artificial intelligence foundations of computational agents David L. Poole, Alan K. Mackworth |
| title_full_unstemmed | Artificial intelligence foundations of computational agents David L. Poole, Alan K. Mackworth |
| title_short | Artificial intelligence |
| title_sort | artificial intelligence foundations of computational agents |
| title_sub | foundations of computational agents |
| topic | Künstliche Intelligenz Computational intelligence / Textbooks Artificial intelligence / Textbooks Künstliche Intelligenz (DE-588)4033447-8 gnd Informatik (DE-588)4026894-9 gnd |
| topic_facet | Künstliche Intelligenz Computational intelligence / Textbooks Artificial intelligence / Textbooks Informatik Lehrbuch |
| url | https://doi.org/10.1017/CBO9780511794797 |
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