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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Fensel, Dieter (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
Έκδοση:1st ed. 2000.
Σειρά:Lecture Notes in Artificial Intelligence ; 1791
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.