Intelligent Systems: Principles, Paradigms And Pragmatics

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Overview

Artificial Intelligence has changed significantly in recent years and many new resources and approaches are now available to explore and implement this important technology. Intelligent Systems: Principles, Paradigms, and Pragmatics takes a modern, 21st-century approach to the concepts of Artificial Intelligence and includes the latest developments, developmental tools, programming, and approaches related to AI. The author is careful to make the important distinction between theory and practice, and focuses on a broad core of technologies, providing students with an accessible and comprehensive introduction to key AI topics.
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Product Details

  • ISBN-13: 9780763780173
  • Publisher: Jones & Bartlett Learning
  • Publication date: 11/9/2009
  • Edition description: 1E
  • Pages: 762
  • Product dimensions: 7.20 (w) x 9.20 (h) x 1.80 (d)

Table of Contents

Ch. 1 Introduction to Intelligent Systems

Ch. 2 First Steps in IS: Representation, Ontologies, and Obtaining Expertise

Ch. 3 Search and Computational Complexity in IS

Ch. 4 Constraint Satisfaction Problems, Part 1

Ch. 5 CSPs, Part 2: Structural Approaches Leading to Natural Language (NL) Understanding and Related Topics

Ch. 6 From Logic-Based Chaining to Production Systems

Ch. 7 The C Language Integrated Production System (CLIPS)

Ch. 8 Extended and Structured Production System Representation and Manipulation Approaches, Including Agents

Ch. 9 Soar

Ch. 10 Representing and Manipulating Uncertainty in IS, Part 1: Confidence Factors, Probability, Belief Networks and Multivalued Logic

Ch. 11 Representing and Manipulating Uncertainty in IS, Part 2: Fuzzy Systems and FuzzyCLIPS

Ch. 12 Planning in IS

Ch. 13 Biologically-Inspired Computing and IS: Neural Networks (Part 1)

Ch. 14 Neural Networks (Part 2): Recurrent Networks and IS Applications

Ch. 15 Neural Networks (Part 3): Self-Organizing Systems

Ch. 16 Learning in IS

Ch. 17 Genetic Algorithms, Swarm Intelligence and Other Evolutionary Computing Concepts in IS

A Fundamentals of Discrete Mathematics

B Fundamentals of Prolog

C Fundamentals of Linear Algebra

D Fundamentals of Lisp

Bibliography

Index

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