First Course in Artificial Intelligence
- Chennai McGraw Hill Education India Private Limited 2022
- xviii,926 p. PB 22.7x17 cm.
This new book on Artificial Intelligence follows a step by step approach, exploring the strategies needed for implementing a problem solving agent, starting with first principles using search and leading up to the representation and use of knowledge. It focuses mainly on the reasoning part of intelligent activity. The book offers both the classical methods and updated concepts of the subject like Tabu Search, Ontology for the Semantic Web, and Default Reasoning. Easy explanations for the concepts with ample examples, figures and annotations enhance the features of the text making the textbook an interesting read. Salient features - ideal for a a set of introductory courses on Artificial Intelligence, very simple, lucid and richly annotated writing style targeted at student readers and well structured algorithms that can be implemented to build real systems. The book is also essential reading for a seasoned professional interested in implementing smart applications.
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