A First Course in Artificial Intelligence
Publication details: New Delhi McGraw Hill Education India Private Ltd 2022 Description: xviii,926 pISBN: 9781259029981Subject(s): Special computer methodsDDC classification: 006.3| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode |
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Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora SPE-Department of IT & Computer Applications | SPE-IT & Computer Applications | 006.3 KHE/Fir (Browse shelf(Opens below)) | Available | SPE-4077 |
Browsing Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora shelves, Shelving location: SPE-Department of IT & Computer Applications, Collection: SPE-IT & Computer Applications Close shelf browser (Hides shelf browser)
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| 005.74 SAU-SAX Blockchain Technology : Concepts and Applications | 005.8 BAS/Com Computer Security and Penetration Testing | 005.8 CAR/Mod Model-Driven DevOps Increasing agility and security in your physical network through DevOps | 006.3 KHE/Fir A First Course in Artificial Intelligence | 006.3 NEG/Art Artificial Intelligence : A Guide to Intelligent Systems | 006.3 RUS-NOR Artificial Intelligence : A Modern Approach | 006.31 DAS/Dee Deep Learning |
1.Introduction.
2.State Space search.
3.Heuristic Search
4.Randomized Search and Emergent System.
5.Finding Optimal Paths.
6.Problem decomposition.
7.Planning.
8.Game Playing.
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
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.
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