000			01323nam a22001697a 4500
003			OSt
005			20250606155431.0
008			250606b |||||||| |||| 00| 0 eng d
020			_a9789332551947
082			_a006.3 _bPAT
100			_aPatterson, Dan W.
245			_aIntroduction to Intelligence and Expert Systems
260			_aNoida _bPearson _c2025
300			_axv, 448p. _c24 x 18 cm
520			_aPart 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
942			_2ddc _cREF
999			_c6407 _d6407