Problem-Solving Methods Understanding, Description, Development, and Reuse /

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 defi...

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Bibliographic Details
Main Author: Fensel, Dieter (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
Edition:1st ed. 2000.
Series:Lecture Notes in Artificial Intelligence ; 1791
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • What Are Problem-Solving Methods
  • Making Assumptions for Efficiency Reasons
  • What Are Problem-Solving Methods
  • Making Assumptions for Efficiency Reasons
  • An Empirical Survey of Assumptions
  • How to Describe Problem-Solving Methods
  • A Four Component Architecture for Knowledge-Based Systems
  • Logics for Knowledge-Based Systems: MLPM and MCL
  • A Verification Framework for Knowledge-Based Systems
  • How to Develop and Reuse Problem-Solving Methods
  • Methods for Context Explication and Adaptation
  • Organizing a Library of Problem-Solving Methods
  • Conclusions and Future Work
  • Conclusions and Future Work.