Artificial intelligence: a guide to intelligent systems

By:

Negnevitsky, Michael

Material type: Text

TextPublication details: Pearson India Education Services Pvt. Ltd. New Delhi 2020Edition: 3rdDescription: xx, 479 pISBN:

9789353946791

Subject(s):

DDC classification:

006.3 NEG

Summary: Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses are described, and program examples are given in Java. Includes the latest state-of-the-art techniques, particularly in intelligent agents and knowledge discovery.

List(s) this item appears in: IT & Decision Sciences | Public Policy & General Management

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.3 NEG (Browse shelf(Opens below))	1	Available		002271

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Table of Content
"1 Introduction to knowledge-based intelligent systems 2 Rule-based expert systems 3 Uncertainty management in rule-based expert systems 4 Fuzzy expert systems 5 Frame-based expert systems 6 Artificial neural networks 7 Evolutionary computation 8 Hybrid intelligent systems 9 Knowledge engineering 10 Data mining and knowledge discovery"

Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses are described, and program examples are given in Java. Includes the latest state-of-the-art techniques, particularly in intelligent agents and knowledge discovery.

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