Planning and learning by analogical reasoning
This research monograph describes the integration of analogical and case-based reasoning into general problem solving and planning as a method of speedup learning. The method, based on derivational analogy, has been fully implemented in PRODIGY/ANALOGY and proven in practice to be amenable to scalin...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Σειρά: | Lecture notes in computer science. Lecture notes in artificial intelligence
886 |
| Θέματα: | |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Planning and learning by analogical reasoning, Manuela M. Veloso, Berlin, Springer-Verlag, 1994, 1 vol. (XIII-181 p.), Lecture notes in computer science, 3-540-58811-6 • Planning and Learning by Analogical Reasoning, Texte imprimé, 9783662181089 |
Πίνακας περιεχομένων:
- Overview
- The problem solver
- Generation of problem solving cases
- Case storage: Automated indexing
- Efficient case retrieval
- Analogical replay
- Empirical results
- Related work
- Conclusion.