First Course in Artificial Intelligence
By: Deepak Khemani
Contributor(s): KHEMANI (Deepak)Material type: 
TextLanguage: English Publisher: Chennai McGraw Hill Education India Private Limited 2022Description: xviii,926 p. PB 22.7x17 cmISBN: 9781259029981Subject(s): Artificial IntelligenceDDC classification: 001.535 Summary: 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
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Book
|
St Aloysius College (Autonomous) | Computer Applications & Animation | 001.535 KHEF (Browse shelf) | Available | 076388 |
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
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