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Problem-Solving Methods

Understanding, Description, Development, and Reuse

  • Book
  • © 2000

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1791)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (9 chapters)

  1. What Are Problem-Solving Methods

  2. What Are Problem-Solving Methods

  3. How to Develop and Reuse Problem-Solving Methods

  4. Conclusions and Future Work

Keywords

About this book

Researchers in Artificial Intelligence have traditionally been classified into two categories: the “neaties” and the “scruffies”. According to the scruffies, the neaties concentrate on building elegant formal frameworks, whose properties are beautifully expressed by means of definitions, lemmas, and theorems, but which are of little or no use when tackling real-world problems. The scruffies are described (by the neaties) as those researchers who build superficially impressive systems that may perform extremely well on one particular case study, but whose properties and underlying theories are hidden in their implementation, if they exist at all. As a life-long, non-card-carrying scruffy, I was naturally a bit suspicious when I first started collaborating with Dieter Fensel, whose work bears all the formal hallmarks of a true neaty. Even more alarming, his primary research goal was to provide sound, formal foundations to the area of knowledge-based systems, a traditional stronghold of the scruffies - one of whom had famously declared it “an art”, thus attempting to place it outside the range of the neaties (and to a large extent succeeding in doing so).

Authors and Affiliations

  • Division of Mathematics and Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Dieter Fensel

Bibliographic Information

  • Book Title: Problem-Solving Methods

  • Book Subtitle: Understanding, Description, Development, and Reuse

  • Authors: Dieter Fensel

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-44936-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2000

  • Softcover ISBN: 978-3-540-67816-8Published: 27 September 2000

  • eBook ISBN: 978-3-540-44936-2Published: 15 May 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 160

  • Topics: Artificial Intelligence, Software Engineering

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