000			02197 a2200229 4500
999			_c695 _d695
005			20211113112419.0
008			200915b ||||| |||| 00| 0 eng d
020			_a9789332543515
082			_a006.3 _bRUS
100			_aRussell, Stuart J. _91908
245			_aArtificial intelligence: a modern approach
260			_bPearson India Education Services Pvt. Ltd. _aNew Delhi _c2020
300			_axviii, 1145 p.
365			_aINR _b899.00
504			_aTable of Content Chapter 1 Introduction Chapter 2 Intelligent Agents Chapter 3 Solving Problems by Searching Chapter 4 Beyond Classical Search Chapter 5 Adversarial Search Chapter 6 Constraint Satisfaction Problems Chapter 7 Logical Agents Chapter 8 First-Order Logic Chapter 9 Inference in First-Order Logic Chapter 10 Classical Planning Chapter 11 Planning and Acting in the Real World Chapter 12 Knowledge Representation Chapter 13 Quantifying Uncertainty Chapter 14 Probabilistic Reasoning Chapter 15 Probabilistic Reasoning over Time Chapter 16 Making Simple Decisions Chapter 17 Making Complex Decisions Chapter 18 Learning from Examples Chapter 19 Knowledge in Learning Chapter 20 Learning Probabilistic Models Chapter 21 Reinforcement Learning Chapter 22 Natural Language Processing Chapter 23 Natural Language for Communication Chapter 24 Perception Chapter 25 Robotics Chapter 26 Philosophical Foundations
520			_aThis edition captures the changes that have taken place in the field of artificial intelligence (AI) since the last edition in 2003. There have been important applications of AI technology, such as the widespread deployment of practical speech recognition, machine translation, autonomous vehicles, and household robotics. There have been algorithmic landmarks, such as the solution of the game of checkers. There has also been a great deal of theoretical progress, particularly in areas such as probabilistic reasoning, machine learning, and computer vision.
650			_aArtificial intelligence _91478
650			_aArtificial intelligence--Study and teaching _91909
650			_aArtificial intelligence--Data processing _91910
700			_aNorvig, Peter _91911
942			_2ddc _cBK