Common LISP Modules: Artificial Intelligence in the Era of Neural Networks and Chaos Theory

Overview

This entertaining book is designed for the reader who enjoys thinking about new technologies and how to use them in solving practical problems. It provides reusable software modules for specific applications, as well as the methodology and spirit required to master problems for which there is no obvious solution. This book is for AI novices who want to learn new technologies and increase their capabilities and for AI professionals who want reusable application-oriented software modules to use in building their ...

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Paperback (1st ed. 1991. Corr. 2nd printing 1992)
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Overview

This entertaining book is designed for the reader who enjoys thinking about new technologies and how to use them in solving practical problems. It provides reusable software modules for specific applications, as well as the methodology and spirit required to master problems for which there is no obvious solution. This book is for AI novices who want to learn new technologies and increase their capabilities and for AI professionals who want reusable application-oriented software modules to use in building their own systems. Each chapter contains background information and theory, a discussion of sample programs, program listings and output, additional information on the sample programs, and suggested exercises. Chapters use engaging real-world examples such as speech and handwriting recognition using neural networks, natural language processing with an example database interface, expert system shells, computer chess game, chaos theory, and fractal generation programs. The text assumes a reading knowledge of LISP and the implementation ability of a set of graphics primitives used for simple graphics operations. While all examples are implemented in Common LISP, the examples are also portable to other LISP dialects. The neural network and fractal examples are also portable to other languages such as C and Pascal.

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Editorial Reviews

Booknews
Watson presents programming techniques useful in both AI projects and more conventional software engineering endeavors, with the goal of entertaining, introducing new technologies, and providing reusable software modules for the computer programmer who enjoys using programs as models for solutions to hard and interesting problems. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780387976143
  • Publisher: Springer New York
  • Publication date: 8/1/1991
  • Edition description: 1st ed. 1991. Corr. 2nd printing 1992
  • Edition number: 1
  • Pages: 207
  • Product dimensions: 6.04 (w) x 9.25 (h) x 0.51 (d)

Table of Contents

1: Introduction and Device Independent Graphics.- 1. Introduction.- 2. Basic Software Tools: Machine-Independent Graphics.- 2: Artificial Neural Networks.- 3. The Substrates of Intelligence, a Neural Network Primer.- 4. Pattern Recognition Using Hopfield Neural Networks.- 5. Speech Recognition Using Neural Networks.- 6. Recognition of Handwritten Characters.- 7. Adaptive Neural Networks.- 3: Natural Language Processing.- 8. Representing Natural Language as LISP Data Structures and LISP Code.- 9. Natural Language Interface to a Library Database.- 4: Expert-Systems.- 10. Expert-Systems.- 5: Search.- 11. Heuristic Network Search Algorithms.- 12. A Chess-Playing Program.- 6: Chaos Theory.- 13. Introduction to Chaos Theory.- 14. Fractal Images.- Annotated Bibliography.

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