Artificial intelligence

By:

Kaushik,Saroj

Material type: Text

TextLanguage: English Publication details: Delhi Cengage Learning India 2011Description: xvi, 645 pISBN:

9788131510995 (PB)

Subject(s):

DDC classification:

006.3 KAU

Contents:

Introduction to Artificial Intelligence Problem Solving: State-Space Search and Control Strategies Problem Reduction and Game Playing Logic Concepts and Logic Programming Prolog Programming Language Advanced Problem-Solving Paradigm: Planning Knowledge Representation Expert System and Applications Uncertainty Measure: Probability Theory Fuzzy Sets and Fuzzy Logic Machine-Learning Paradigms Artificial Neural Networks Evolutionary Computation Introduction to Intelligent Agents Advanced Knowledge Representation Techniques Natural Language Processing References Index

Summary: This textbook Artificial Intelligence is designed to provide comprehensive material to undergraduate and graduate students on the vast and fast-growing subject of Artificial Intelligence. The book has been written keeping in mind the syllabi designed for courses on AI in various technical institutions and universities in India and abroad. The book can serve as a textbook for the first-level course for one full semester on AI and will also provide study material to computer professionals who wish to expand their knowledge. The main topics covered in the book include problem-solving using intelligent searches and planning, knowledge representation techniques, game playing, first-order predicate logic and Prolog (programming in logic) programming language, uncertainty handling, expert systems. The language Prolog has been used throughout the book to write programs for problems to be solved using AI techniques. In addition, some advanced topics such as machine learning, fuzzy logic, artificial neural network, evolutionary computing, advanced knowledge representation techniques, agent technology and natural language processing have been included in detail. Each chapter in the book has been carefully developed with the help of several pedagogical features. A large amount of effort has been put in to ensure that every concept discussed in the book is explained with the help of examples as far as possible. Pseudo algorithms for various methods and techniques are included throughout the book to increase the comprehensibility of the topics and demonstrate their applications.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	IIITDM Kurnool	Non-fiction	006.3 KAU (Browse shelf(Opens below))	Available		G000377

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Introduction to Artificial Intelligence
Problem Solving: State-Space Search and Control Strategies
Problem Reduction and Game Playing
Logic Concepts and Logic Programming
Prolog Programming Language
Advanced Problem-Solving Paradigm: Planning
Knowledge Representation
Expert System and Applications
Uncertainty Measure: Probability Theory
Fuzzy Sets and Fuzzy Logic
Machine-Learning Paradigms
Artificial Neural Networks
Evolutionary Computation
Introduction to Intelligent Agents
Advanced Knowledge Representation Techniques
Natural Language Processing
References
Index

This textbook Artificial Intelligence is designed to provide comprehensive material to undergraduate and graduate students on the vast and fast-growing subject of Artificial Intelligence. The book has been written keeping in mind the syllabi designed for courses on AI in various technical institutions and universities in India and abroad. The book can serve as a textbook for the first-level course for one full semester on AI and will also provide study material to computer professionals who wish to expand their knowledge. The main topics covered in the book include problem-solving using intelligent searches and planning, knowledge representation techniques, game playing, first-order predicate logic and Prolog (programming in logic) programming language, uncertainty handling, expert systems. The language Prolog has been used throughout the book to write programs for problems to be solved using AI techniques. In addition, some advanced topics such as machine learning, fuzzy logic, artificial neural network, evolutionary computing, advanced knowledge representation techniques, agent technology and natural language processing have been included in detail. Each chapter in the book has been carefully developed with the help of several pedagogical features. A large amount of effort has been put in to ensure that every concept discussed in the book is explained with the help of examples as far as possible. Pseudo algorithms for various methods and techniques are included throughout the book to increase the comprehensibility of the topics and demonstrate their applications.

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