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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2000.
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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.