DECODE Artificial Intelligence For GTU University (VIII- CSE/IT- 2180703 )

By Anamitra Deshmukh-nimbalkar, Dr. Manmohan Singh more
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Product Specifications

Publisher Technical Publications All Computer Science books by Technical Publications
ISBN 9789333218405
Author: Anamitra Deshmukh-nimbalkar, Dr. Manmohan Singh
Number of Pages 256
Edition Third Edition
Available
Available in all digital devices
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DECODE Artificial Intelligence For GTU University (VIII- CSE/IT- 2180703 ) - Page 1 DECODE Artificial Intelligence For GTU University (VIII- CSE/IT- 2180703 ) - Page 2 DECODE Artificial Intelligence For GTU University (VIII- CSE/IT- 2180703 ) - Page 3 DECODE Artificial Intelligence For GTU University (VIII- CSE/IT- 2180703 ) - Page 4 DECODE Artificial Intelligence For GTU University (VIII- CSE/IT- 2180703 ) - Page 5

DECODE Artificial Intelligence For GTU University (VIII- CSE/IT- 2180703 ) by Anamitra Deshmukh-nimbalkar, Dr. Manmohan Singh
Book Summary:

The importance of Artificial Intelligence is well known in various engineering fields. Overwhelming response to my books on various subjects inspired me to write this book. The book is structured to cover the Rey aspects of the subject Artificial Intelligence.

The book uses plain, lucid language to explain fundamentals of this subject. The book provides logical method of explaining various complicated concepts and stepwise methods to explain the important topics. Each chapter is well supported with necessary illustrations, practical examples and solved problems. All chapters in this book are arranged in a proper sequence that permits each topic to build upon earlier studies. All care has been taken to make students comfortable in understanding the basic concepts of this subject.

Audience of the Book :
This book Useful for Engineering students.
Table of Contents:


Chapter - 1 Artificial Intelligence Overview and Basic Concepts

Chapter - 2 Problems and State Space Search

Chapter - 3 Heuristic Search Techniques

Chapter - 4 Knowledge Representation Issues

Chapter - 5 Using Predicate Logic

Chapter - 6 Representing Knowledge using Rules

Chapter - 7 Symbolic Reasoning Under Uncertainity

Chapter - 8 Statistical Reasoning

Chapter - 9 Weak Slot-and-Filler Structure

Chapter - 10 Strong Slot and Filler Structures

Chapter - 11 Game Playing : Overview and Example Domain

Chapter - 12 Natural Language Processing

Chapter - 13 Connectionist Models

Chapter - 14 Introduction to Prolog

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