First course in artificial intelligence / (Record no. 92387)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01802nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240410b2013 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781259029981 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 KHE-D |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Khemani, Deepak |
| 245 ## - TITLE STATEMENT | |
| Title | First course in artificial intelligence / |
| Statement of responsibility, etc. | Deepak Khmani |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | India |
| Name of publisher, distributor, etc. | McGraw Hill |
| Date of publication, distribution, etc. | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 926p. |
| 500 ## - GENERAL NOTE | |
| General note | Artificial Intelligence, 1e follows a bottom up approach exploring the basic strategies (starting with search based methods and then moving on to knowledge based methods) needed for problem solving and focuses mainly on the intelligence part. The book offers both the classical methods and updated concepts of the subject like Tabu Search, Beam search. Easy explanations for the concepts with ample of examples, figures and annotations enhance the features of the text makes the textbook an interesting read.Salient featuresIdeal for an introductory course on Artificial Intelligence Very simple, lucid and richly annotated writing style targeted at student readers.Search based to Knowledge based approach using agents all across.Detailed and well-structured algorithms with proofs.Table of ContentsChapter 1 IntroductionChapter 2 State Space SearchChapter 3 Heuristic SearchChapter 4 Randomized Search and Emergent SystemsChapter 5 Finding Optimal PathsChapter 6 Problem DecompositionChapter 7 PlanningChapter 8 Game PlayingChapter 9 Constraint Satisfaction ProblemsChapter 10 Advanced Planning MethodsChapter 11 Knowledge Based ReasoningChapter 12 Logic and InferencesChapter 13 Concepts and LanguageChapter 14 Structured Knowledge RepresentationsChapter 15 Memory and Experience: Case Based ReasoningChapter 16 Natural Language ProcessingChapter 17 Reasoning Under UncertaintyChapter 18 Machine Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial Intelligence |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Checked out | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | Text & Reference Section (Student cannot borrow these books) | 30/04/2024 | 2 | 006.3 KHE-D | 48730 | 12/08/2025 | 11/12/2024 | 11/12/2024 | 10/04/2024 | Course Reference Books |