Artificial intelligence and intelligent systems
By: Padhy, N.P
.
Publisher: New Delhi Oxford University Press 2005Edition: 1st.Description: xvii, 614p. | Binding - Paperback | 24*16 cm.ISBN: 9780195671544; 0195671546.Subject(s): Computer EngineeringDDC classification: 006.3 Summary: Artificial Intelligence and Intelligent Systems provides a comprehensive coverage of the fundamental concepts and techniques in artificial intelligence.
The book discusses current trends in AI and its application to various fields. Intelligent systems such as expert systems, fuzzy systems, artificial neural networks, genetic algorithms, and swarm intelligent systems are discussed in detail with examples to facilitate in-depth understanding of AI. The text emphasizes the solution of real-world problems using the latest AI techniques. Since the ultimate goal of AI is the construction of programs to solve problems, an entire chapter has been devoted to the programming languages used in AI problem solving. Written in a clear and lucid style, this student-friendly book has been specially designed for undergraduate engineering students. With its application oriented approach and inclusion of recent topics, the book would also be useful to postgraduate students and researchers in th is field.
Table of contents
Chapter1.Artificial Intelligence: History and Applications
Chapter2.Knowledge Representation: Reasoning, Issues, and Acquisition
Chapter3.Heuristic Search
Chapter4.State Space Search: Implementation and Applications
Chapter5.Artificial Intelligence Problem-solving Languages
Chapter6.Expert Systems
Chapter7.Fuzzy Systems
Chapter8.Artificial Neural Networks
Chapter9.Genetic Algorithms and Evolutionary Programming
Chapter10.Swarm Intelligent Systems
Features
Includes real-world examples to illustrate concepts.
Contains a separate chapter on programming languages in AI.
Includes new topics such as sworn intelligent systems.
Explains genetic algorithms and swarm intelligence using examples.
Provides numerous illustrations, examples, and end-chapter exercises.
Online Resources
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Text Books
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Departmental Library - SOET Reading Hall | Circulation | 006.3 PAD (Browse shelf) | Available | DE0308 |
Artificial Intelligence and Intelligent Systems provides a comprehensive coverage of the fundamental concepts and techniques in artificial intelligence.
The book discusses current trends in AI and its application to various fields. Intelligent systems such as expert systems, fuzzy systems, artificial neural networks, genetic algorithms, and swarm intelligent systems are discussed in detail with examples to facilitate in-depth understanding of AI. The text emphasizes the solution of real-world problems using the latest AI techniques. Since the ultimate goal of AI is the construction of programs to solve problems, an entire chapter has been devoted to the programming languages used in AI problem solving. Written in a clear and lucid style, this student-friendly book has been specially designed for undergraduate engineering students. With its application oriented approach and inclusion of recent topics, the book would also be useful to postgraduate students and researchers in th is field.
Table of contents
Chapter1.Artificial Intelligence: History and Applications
Chapter2.Knowledge Representation: Reasoning, Issues, and Acquisition
Chapter3.Heuristic Search
Chapter4.State Space Search: Implementation and Applications
Chapter5.Artificial Intelligence Problem-solving Languages
Chapter6.Expert Systems
Chapter7.Fuzzy Systems
Chapter8.Artificial Neural Networks
Chapter9.Genetic Algorithms and Evolutionary Programming
Chapter10.Swarm Intelligent Systems
Features
Includes real-world examples to illustrate concepts.
Contains a separate chapter on programming languages in AI.
Includes new topics such as sworn intelligent systems.
Explains genetic algorithms and swarm intelligence using examples.
Provides numerous illustrations, examples, and end-chapter exercises.
Online Resources
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