Artificial Intelligence and Software Engineering: Understanding the Promise of the Future / Edition 1

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Overview

* Over 2,500 entries
* First up-to-date reference in this area.
* Extensively cross-referenced with bibliography
* Full list of Internet sites of interest

This important book is a must reference for all disciplines—business, science, education, and engineering. It contains over 2,500 entries—defined, explained, and illustrated—and detailed discussion of major concepts as well as topics in related disciplines. This volume is completely cross-referenced, has an annotated bibliography and an extensive appendix of Internet sites on the latest trends in artificial intelligence.

The International Dictionary of Artificial Intelligence is the first up-to-date reference volume on this important, emerging discipline. Artificial intelligence is rapidly becoming the foundation discipline for thousands of new applications in business, science, education, engineering, and research.

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Editorial Reviews

Booknews
A broad-based collection of chapters which address the area of overlap between the fields of artificial intelligence and software engineering. A taxonomy of this overlap area is developed and related to other major attempts to address the interaction between these two fields. Each of the four major subareas--AI-based support environments, software engineering tools and techniques, methodological issues of AI-software development and AI techniques in practical software--is described and illustrated with representative examples. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9781888998368
  • Publisher: Global Professional Publishing
  • Publication date: 1/28/2000
  • Edition number: 1
  • Pages: 368
  • Product dimensions: 6.34 (w) x 9.32 (h) x 0.89 (d)

Meet the Author

Derek Partridge is Professor of Computer Science at the University of Exeter.

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Table of Contents

1 Introduction to Computer Software 1
2 AI Problems and Conventional SE Problems 33
3 Software Engineering Methodology 45
4 An Incremental and Exploratory Methodology 71
5 New Paradigms for System Engineering 101
6 Towards a Discipline of Exploratory Programming 137
7 Machine Learning: Much Promise, Many Problems 177
8 Expert Systems: The Success Story 201
9 AI into Practical Software 215
10 Summary and What the Future Holds 245
References 253
Index 261
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