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 definitions, lemmas, and th...
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| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Col·lecció: | Lecture notes in computer science. Lecture notes in artificial intelligence
1791 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Problem-solving methods, understanding, description, development, and reuse, Dieter Fensel, 2000, New York, Springer, 1 vol. (XII-153 p.), Lecture notes in computer science, 3-540-67816-6 • Problem-Solving Methods, Texte imprimé, 9783662176146 |
Taula de continguts:
- 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.