Artificial intelligence: a guide to intelligent systems
Material type:
TextPublication details: New Delhi Pearson India Education Services Pvt. Ltd. 2020 Edition: 3rdDescription: xx, 479 pISBN: 9789353946791Subject(s): Artificial intelligence | Expert systems (Computer science)DDC classification: 006.3 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Book
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Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 006.3 NEG (Browse shelf(Opens below)) | 1 | Available | 002271 |
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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