Szczegóły publikacji
Opis bibliograficzny
Framework for benchmarking rule-based inference engines / Szymon BOBEK, Piotr Misiak // W: Artificial Intelligence and Soft Computing : 16th International Conference : ICAISC 2017 Zakopane, Poland, June 11–15, 2017 : proceedings, Pt. 2 / eds. Leszek Rutkowski, [et al.]. — Switzerland : Springer International Publishing, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; LNAI 10246). — Toż na Dysku Flash. — ISBN: 978-3-319-59059-2; e-ISBN: 978-3-319-59060-8. — S. 399–410. — Bibliogr. s. 408–410, Abstr. — Publikacja dostępna online od: 2017-05-24
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 106586 |
|---|---|
| Data dodania do BaDAP | 2017-06-30 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-59060-8_36 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Artificial Intelligence and Soft Computing 2017 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
Rule-based systems constitute the state of the art solutions in the area of artificial intelligence. They provide fast, human readable and self explanatory mechanism for encoding knowledge. Due to large popularity of rules, dozens of inference engines were developed over last few decades. They differ in the reasoning efficiency depending on many factors such as model characteristics or deployment platform. Therefore, picking a reasoning engine that best fits the requirement of the system becomes a non-trivial task. The primary objective of the work presented in this paper was to provide a fully automated framework for benchmarking rule-based reasoning engines.
