A First Course In Artificial Intelligence BY Deepak Khemani |
Book Title: A First Course In Artificial Intelligence
Author's: Deepak Khemani
Publisher: McGraw-Hill
Edition: 1st
Year: 01/July/2017
Paperback: 944 PagesDownload: N/A [Coming Soon]
Buy: @Amazon
About Books:
Artificial Intelligence, 1e follows a bottom up approach exploring the basic strategies (starting with search based methods and then moving on to knowledge based methods) needed for problem solving and focuses mainly on the intelligence part. The book offers both the classical methods and updated concepts of the subject like Tabu Search, Beam search. Easy explanations for the concepts with ample of examples, figures and annotations enhance the features of the text makes the textbook an interesting read.
Salient Features:
Table of Contents:
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
Salient Features:
- Ideal for an introductory course on Artificial Intelligence Very simple, lucid and richly annotated writing style targeted at student readers.
- Search based to Knowledge based approach using agents all across.
- Detailed and well-structured algorithms with proofs.
Table of Contents:
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
About Artist:
Deepak Khemani, Department of Computer Science and Engineering, IIT Madrasand Visiting Faculty, IIT Mandi.
0 Comments