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McGraw-Hill Education (India) Pvt. Ltd |
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Artificial Intelligence ISBN: 9781259029981 Pages: 944 |
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Author:
Deepak Khemani Department of computer Science and Engineering, IIT Madras | |
As the title says, A First Course in Artificial Intelligence is aptly suited for both undergraduate and postgraduate courses involving Artificial Intelligence. The book explores
from scratch the algorithms and representations needed for building intelligent systems. The textbook follows a bottom-up approach exploring the basic strategies - starting with search based methods & then moving on to knowledge based methods - needed for problem solving and focuses primarily
on the intelligence part. The only background required to comprehend the book is familiarity with programming. Easy explanations for the concepts bolstered with illuminative illustrations make the book an essential reading for the budding artificial intelligence students, seasoned practitioners and
researchers; all alike.
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Key Features:
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TABLE OF CONTENTS
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Chapter 1 Introduction Chapter 2 State Space Search Chapter 3 Heuristic Search Chapter 4 Randomized Search and Emergent Systems Chapter 5 Finding Optimal Paths Chapter 6 Problem Decomposition Chapter 7 Planning Chapter 8 Game Playing Chapter 9 Constraint Satisfaction Problems Chapter 10 Advanced Planning Methods Chapter 11 Knowledge Based Reasoning Chapter 12 Logic and Inferences Chapter 13 Concepts and Language Chapter 14 Structured Knowledge Representations Chapter 15 Memory and Experience: Case Based Reasoning Chapter 16 Natural Language Processing Chapter 17 Reasoning Under Uncertainty Chapter 18 Machine Learning | |
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