Artificial Intelligence ; A modern Approach / Stuart J.Russel , Peter Norvig.

By:

Russell Stuart, Norvig Peter

Material type: Text

TextPublication details: Chennai. Pearson. 2018.Edition: 12th ed. 2018Description: 1145 p . ; softbound 21x28cmISBN:

978-93-325-4351-5

DDC classification:

23 006.3 RUS

Contents:

1.Introduction 2.Intelligent Agents 3.Solving problems by searching 4.Beyond classical search 5.Adversarial Search 6.Constraint satisfaction problems 7.Logical Agents 8.First -order Logic 9.Inference in first-order logic 10.Classical Planning 11.Planning and acting in the real world 12.Knowledge Representation 13.Quantifying uncertainity 14.Probabilities Reasoning 15.Probabilitic reasoning over time 16.Making simple decisions 17.Making complex decisions 18.Learning from examples 19.Knowledge in learning 20.Learning probabilistic models 21.Reinforcement learning 22.Natural language processing 23.Natural language for communication 24.Perception 25.Robotics 26.Philosophical foundations 27.The present and future

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Tetso College Library Computer Science	Non-fiction	006.3 RUS (Browse shelf(Opens below))	Available		11215
Books	Tetso College Library Computer Science		006.3 RUS (Browse shelf(Opens below))	Available		8459

Browsing Tetso College Library shelves, Shelving location: Computer Science Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.3 MAL Artificial Intelligence and the Future of Power 5 Battlegrounds	006.3 MAL Artificial Intelligence and the Future of Power 5 Battlegrounds	006.3 PUJ Data Mining Techniques	006.3 RUS Artificial Intelligence ; A modern Approach /	006.3 RUS Artificial Intelligence: A modern Approach/	006.3 RUS Artificial Intelligence ; A modern Approach /	006.30922 MET Genius Makers The Mavericks Who Brought AI to Google,Facebook and the World	Next

1.Introduction
2.Intelligent Agents
3.Solving problems by searching
4.Beyond classical search
5.Adversarial Search
6.Constraint satisfaction problems
7.Logical Agents
8.First -order Logic
9.Inference in first-order logic
10.Classical Planning
11.Planning and acting in the real world
12.Knowledge Representation
13.Quantifying uncertainity
14.Probabilities Reasoning
15.Probabilitic reasoning over time
16.Making simple decisions
17.Making complex decisions
18.Learning from examples
19.Knowledge in learning
20.Learning probabilistic models
21.Reinforcement learning
22.Natural language processing
23.Natural language for communication
24.Perception
25.Robotics
26.Philosophical foundations
27.The present and future

There are no comments on this title.

to post a comment.