000			02149nam a22002177a 4500
999			_c697 _d697
005			20211113112628.0
008			200915b ||||| |||| 00| 0 eng d
020			_a9789332551947
082			_a006.3 _bPAT
100			_aPatterson, Dan W. _91923
245			_aIntroduction to artificial intelligence and expert systems
260			_bPearson India Education Services Pvt. Ltd. _aNew Delhi _c2018
300			_axv, 448 p.
365			_aINR _b549.00
504			_aTable of Content Part 1: Introduction to Artificial Intelligence - Overview of Artificial Intelligence Knowledge: General Concepts LISP and Other AI Programming Languages Part 2: Knowledge Representation - Formalized Symbolic Logics Dealing with Inconsistencies and Uncertainties Probabilistic Reasoning Structured Knowledge: Graphs, Frames and Related Structures Object Oriented Representations Part 3: Knowledge Organization and Manipulation - Search and Control Strategies Matching Techniques Knowledge Organization and Management Part 4: Perception, Communication and Expert Systems - Natural Language Processing Pattern Recognition Visual Image Understanding Expert Systems Architectures Part 5: Knowledge Acquisition - General Concepts in Knowledge Acquisition Early Work in Machine Learning Learning by Induction Examples of Other Inductive Learners Analogical and Explanation Based Learning
520			_aThis text provides comprehensive treatment of all important topics in artificial intelligence and expert systems - presented from a knowledge based systems approach. The text covers the knowledge and knowledge representation methods in both breadth and detail, with many examples, covers the latest results in all key areas of AI, including knowledge representation, pattern matching, natural language processing, computer vision, memory organization, pattern recognition, expert systems, neural networks, AI tools and machine learning. throughout. The book provides chapter introductions and chapter summaries.
650			_aArtificial intelligence _91478
650			_aComputer simulation _9936
650			_aComputer science _91018
942			_2ddc _cBK