Handbook of Knowledge Representation.
Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by...
Saved in:
| Online Access: |
Full Text (via ProQuest) |
|---|---|
| Main Author: | |
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Burlington :
Elsevier,
2008.
|
| Series: | Foundations of Artificial Intelligence.
|
| Subjects: |
MARC
| LEADER | 00000cam a2200000Mu 4500 | ||
|---|---|---|---|
| 001 | b12046017 | ||
| 003 | CoU | ||
| 005 | 20211224042542.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 110202s2008 vtu o 000 0 eng d | ||
| 019 | |a 437198396 |a 476128611 | ||
| 020 | |a 9780080557021 | ||
| 020 | |a 0080557023 | ||
| 035 | |a (OCoLC)ebqac704446811 | ||
| 035 | |a (OCoLC)704446811 |z (OCoLC)437198396 |z (OCoLC)476128611 | ||
| 037 | |a ebqac330132 | ||
| 040 | |a NRU |b eng |e pn |c NRU |d OCLCQ |d IDEBK |d UKDOC |d OCLCQ |d MERUC |d EBLCP |d OCLCQ |d DEBSZ |d OCLCQ |d UKBTH |d OCLCO |d OCLCF |d OCLCQ | ||
| 049 | |a GWRE | ||
| 050 | 4 | |a Q387.H36 2008 | |
| 100 | 1 | |a Van Harmelen, Frank. | |
| 245 | 1 | 0 | |a Handbook of Knowledge Representation. |
| 260 | |a Burlington : |b Elsevier, |c 2008. | ||
| 300 | |a 1 online resource (1035 pages) | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 490 | 1 | |a Foundations of Artificial Intelligence. | |
| 505 | 0 | |a Front cover; Handbook of Knowledge Representation; Copyright page; Dedication; Preface; Editors; Contributors; Contents; Part I: General Methods in Knowledge Representation and Reasoning; Chapter 1. Knowledge Representation and Classical Logic; Chapter 2. Satisfiability Solvers; Chapter 3. Description Logics; Chapter 4. Constraint Programming; Chapter 5. Conceptual Graphs; Chapter 6. Nonmonotonic Reasoning; Chapter 7. Answer Sets; Chapter 8. Belief Revision; Chapter 9. Qualitative Modeling; Chapter 10. Model-based Problem Solving; Chapter 11. Bayesian Networks. | |
| 520 | |a Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to s. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Knowledge representation (Information theory) | |
| 650 | 7 | |a Knowledge representation (Information theory) |2 fast |0 (OCoLC)fst00988187. | |
| 700 | 1 | |a Lifschitz, Vladimir. | |
| 700 | 1 | |a Porter, Bruce. | |
| 776 | 0 | 8 | |i Print version: |a Van Harmelen, Frank. |t Handbook of Knowledge Representation. |d Burlington : Elsevier, ©2008 |z 9780444522115. |
| 830 | 0 | |a Foundations of Artificial Intelligence. | |
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/ucb/detail.action?docID=330132 |z Full Text (via ProQuest) |
| 907 | |a .b120460178 |b 01-11-22 |c 01-11-22 | ||
| 998 | |a web |b - - |c f |d b |e z |f eng |g vtu |h 0 |i 1 | ||
| 915 | |a M | ||
| 956 | |a Ebook Central Academic Complete | ||
| 956 | |b Ebook Central Academic Complete | ||
| 999 | f | f | |i a0c411c1-9029-5ff7-b7e7-a02c897484ab |s c2571d06-3924-55e5-9e29-5ddaf7be137d |
| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e Q387.H36 2008 |h Library of Congress classification |i web |n 1 |