- Tytuł:
- Reasoning algorithm for a creative decision support system integrating inference and machine learning
- Autorzy:
- Wilk-Kolodziejczyk, D.
- Powiązania:
- https://bibliotekanauki.pl/articles/305355.pdf
- Data publikacji:
- 2017
- Wydawca:
- Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
- Tematy:
-
reasoning algorithm
inferential theory of learning
decision support
rule induction
logic of plausible reasoning - Opis:
- In this paper a reasoning algorithm for a creative decision support system is proposed. It allows to integrate inference and machine learning algorithms. Execution of learning algorithm is automatic because it is formalized as aplying a complex inference rule, which generates intrinsically new knowledge using the facts stored already in the knowledge base as training data. This new knowledge may be used in the same inference chain to derive a decision. Such a solution makes the reasoning process more creative and allows to continue resoning in cases when the knowledge base does not have appropriate knowledge explicit encoded. In the paper appropriate knowledge representation and infeence model are proposed. Experimental verification is performed on a decision support system in a casting domain.
- Źródło:
-
Computer Science; 2017, 18 (3); 317-338
1508-2806
2300-7036 - Pojawia się w:
- Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł