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Intelligent Systems: Principles, Paradigms, and Pragmatics

Author(s): Robert J. Schalkoff, Clemson University
  • ISBN-13: 9780763780173
  • Hardcover    762 pages      © 2011
Price: $285.95 US List
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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.

Features & Benefits

  • Provides students with a full understanding of Intelligent Systems (IS) by including key information on such important topics as Logic, Production Systems, Ontologies, Fuzzy Systems, Genetic Algorithms, IS programming and more.
  • Conveys a technical perspective, giving readers the ability to determine when an IS approach is appropriate for a given problem, and then selecting and implementing a suitable IS method.
  • Includes hands-on examples and exercises allowing readers to implement real-world IS technologies.
  • Provides a current look at off-the-shelf tools for developing production systems and ontologies.
  • Discusses the technology and pragmatics of embedded IS software.
  • Provides comprehensive references to both seminal work and current implementation strategies.
Chapter 1  Introduction to Intelligent Systems
Chapter 2  First Steps in IS: Representation, Ontologies, and Obtaining Expertise
Chapter 3  Search and Computational Complexity in IS
Chapter 4  Constraint Satisfaction Problems, Part 1
Chapter 5  CSPs, Part 2: Structural Approaches Leading to Natural Language (NL) Understanding and Related Topics
Chapter 6  From Logic-Based Chaining to Production Systems
Chapter 7  The c Language Integrated Production System (clips)
Chapter 8  Extended and Structured Production System Representation and Manipulation Approaches, Including Agents
Chapter 9  Soar
Chapter 10  Representing and Manipulating Uncertainty in IS, Part1: Confidence Factors, Probability, Belief Networks and Multivalued Logic
Chapter 11  Representing and Manipulating Uncertainty in IS, Part 2: Fuzzy Systems and FUZZYclips
Chapter 12  Planning in IS
Chapter 13  Biologically-inspired Computing and IS: Neural Networks (Part 1)
Chapter 14  Neural Networks (Part 2): Recurrent Networks and IS Applications
Chapter 15  Neural Networks (Part 3): Self-Organizing Systems
Chapter 16  Learning in IS
Chapter 17  Genetic Algorithms, Swarm Intelligence and Other Evolutionary Computing Concepts in IS

Robert J. Schalkoff-Clemson University

Robert J. Schalkoff is currently Professor of Electrical and Computer Engineering at Clemson University.  His primary scholarly interests are in intelligent systems and computing.  He is also the author of Programming Languages and Methodologies, Digital Image Processing and Computer Vision, Artificial Intelligence: An Engineering Approach, Pattern Recognition: Statistical, Syntactic and Neural Approaches, and Artificial Neural Networks.  He received his Ph.D.  in Electrical Engineering from the University of Virginia.

  • This excellent comprehensive treatment of artificial intelligence (AI) includes recent developments, programming tools, and approaches used in the field. Highly recommended, upper-division graduates through professionals in AI.

    -C. Tappert
    Pace University

The following instructor resources are available to qualified instructors for download

ISBN-13: 9780763780173

Additional Resources for Instructors
Instructor Manual

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