Fundamentals of artificial intelligence

By:

Chowdhary, K. R

Material type: Text

TextPublication details: Springer New Delhi 2020Description: xxx, 716 pISBN:

9788132239703

Subject(s):

DDC classification:

006.3 CHO

Summary: Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI. (https://link.springer.com/book/10.1007/978-81-322-3972-7)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.3 CHO (Browse shelf(Opens below))	1	Available		006612

Table of content:
Front Matter
Pages i-xxx
Download chapter PDF
Introducing Artificial Intelligence
K. R. Chowdhary
Pages 1-23
Logic and Reasoning Patterns
K. R. Chowdhary
Pages 25-50
First Order Predicate Logic
K. R. Chowdhary
Pages 51-88
Rule Based Reasoning
K. R. Chowdhary
Pages 89-109
Logic Programming and Prolog
K. R. Chowdhary
Pages 111-141
Real-World Knowledge Representation and Reasoning
K. R. Chowdhary
Pages 143-177
Networks-Based Representation
K. R. Chowdhary
Pages 179-215
State Space Search
K. R. Chowdhary
Pages 217-237
Heuristic Search
K. R. Chowdhary
Pages 239-272
Constraint Satisfaction Problems
K. R. Chowdhary
Pages 273-302
Adversarial Search and Game Theory
K. R. Chowdhary
Pages 303-335
Reasoning in Uncertain Environments
K. R. Chowdhary
Pages 337-373
Machine Learning
K. R. Chowdhary
Pages 375-413
Statistical Learning Theory
K. R. Chowdhary
Pages 415-443
Automated Planning
K. R. Chowdhary
Pages 445-470
Intelligent Agents
K. R. Chowdhary
Pages 471-505
Data Mining
K. R. Chowdhary
Pages 507-555
Information Retrieval
K. R. Chowdhary
Pages 557-602
Natural Language Processing
K. R. Chowdhary
Pages 603-649
[https://link.springer.com/book/10.1007/978-81-322-3972-7]

Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.

(https://link.springer.com/book/10.1007/978-81-322-3972-7)

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