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Intelligent systems : principles, paradigms and pragmatics / Robert J. Schalkoff

By: Publication details: Jones & Bartlett Learning, New Delhi : 2011.Description: xxviii, 758 pISBN:
  • 9789380853161
Subject(s): DDC classification:
  • 006.32 SCH
Contents:
Introduction to Intelligent Systems -- First steps in IS: Representation, Ontologies, and Obtaining Expertise -- Search and Computational Complexity in IS -- Constraint Satisfaction Problems, Part 1 -- CSPs, Part 2: Structural Approaches Leading to Natural Language Understanding and Related Topics -- From Logic-Based Chaining to Production Systems -- The C Language Integrated Production System (CLIPS) -- Extended Production System Representation and Manipulation Approaches, Including Agents -- Soar -- Represent and Manipulation Uncertainty in IS, Part1: Confidence Factor, Probability, Belief Network, and Multivalued Logic -- Represent and Manipulating Uncertainty in IS, Part 2: Fuzzy Systems and Fuzzy CLIPS -- Biologically-Inspired Computing and IS: Neural Networks (Part 1) -- Neural Networks (Part 2): Recurrent Networks and IS Application -- Neural Network (Part 3): self-Organizing systems -- Learning in IS -- Genetic Algorithms, Swarm Intelligence, and Other Evolutionary Computing Concepts in IS -- Fundamentals of Discrete Mathematics -- Fundamentals of Prolong -- Fundamentals of Linear Algebra -- Fundamentals of Lisp.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Learning Resource Centre 006.32 SCH (Browse shelf(Opens below)) Available 6761
Total holds: 0

Introduction to Intelligent Systems --
First steps in IS: Representation, Ontologies, and Obtaining Expertise --
Search and Computational Complexity in IS --
Constraint Satisfaction Problems, Part 1 --
CSPs, Part 2: Structural Approaches Leading to Natural Language Understanding and Related Topics --
From Logic-Based Chaining to Production Systems --
The C Language Integrated Production System (CLIPS) --
Extended Production System Representation and Manipulation Approaches, Including Agents --
Soar --
Represent and Manipulation Uncertainty in IS, Part1: Confidence Factor, Probability, Belief Network, and Multivalued Logic --
Represent and Manipulating Uncertainty in IS, Part 2: Fuzzy Systems and Fuzzy CLIPS --
Biologically-Inspired Computing and IS: Neural Networks (Part 1) --
Neural Networks (Part 2): Recurrent Networks and IS Application --
Neural Network (Part 3): self-Organizing systems --
Learning in IS --
Genetic Algorithms, Swarm Intelligence, and Other Evolutionary Computing Concepts in IS --
Fundamentals of Discrete Mathematics --
Fundamentals of Prolong --
Fundamentals of Linear Algebra --
Fundamentals of Lisp.

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