Szczegóły publikacji
Opis bibliograficzny
Reasoning algorithm for creative decision support system integrating inference and machine learning / Dorota WILK-KOŁODZIEJCZYK // Computer Science ; ISSN 1508-2806. — 2017 — vol. 18 iss. 3, s. 317–338. — Bibliogr. s. 336–338, Abstr. — Dod. afiliacja autorki: Foundry Research Institute, Krakow
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 109645 |
|---|---|
| Data dodania do BaDAP | 2017-11-22 |
| Tekst źródłowy | URL |
| DOI | 10.7494/csci.2017.18.3.2364 |
| Rok publikacji | 2017 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Computer Science |
Abstract
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.