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Artificial Intelligence: A Guide to Intelligent Systems

By: Publication details: Noida, Uttar Pradesh: Pearson, 2020Edition: 3Description: 479ISBN:
  • 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: New Arrivals for the Month of November - 2023
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Reference Book Reference Book Alliance College of Engineering and Design CSE & IT 006.3 NEG (Browse shelf(Opens below)) 1 Not for loan E13244
Book Book Alliance College of Engineering and Design CSE & IT 006.3 NEG (Browse shelf(Opens below)) 3 Available E13246
Book Book Alliance College of Engineering and Design CSE & IT 006.3 NEG (Browse shelf(Opens below)) 2 Available E13245
Total holds: 0

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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