Knowledge Representation and Inductive Reasoning using Conditional Logic and Sets of Ranking Functions
A core problem in Artificial Intelligence is the modeling of human reasoning. Classic-logical approaches are too rigid for this task, as deductive inference yielding logically correct results is not appropriate in situations where conclusions must be drawn based on the incomplete or uncertain knowle...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
London :
SAGE Publications
2021.
Paris : Cyberlibris |
| Online Erişim: | Accès Université d'Orléans et IFPM |
| Not: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781643681634.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Knowledge Representation and Inductive Reasoning using Conditional Logic and Sets of Ranking Functions, Steven Kutsch, London, SAGE Publications, 2021, 1 vol. (186 p.), 978-16-4368-163-4 |