Tytuł artykułu

Improving testing of multi-agent systems: An innovative deep learning strategy for automatic, scalable, and dynamic error detection and optimisation

Tytuł czasopisma

Bulletin of the Polish Academy of Sciences Technical Sciences

Rocznik

2025

Wolumin

73

Numer

3

Autorzy

Dehimi, Nour El Houda ; Tolba, Zakaria ; Medkour, Mehdi ; Hadjadj, Anis ; Galland, Stéphane

Afiliacje

Dehimi, Nour El Houda : LIAOA Laboratory, Department of Mathematics and Computer Science, University of Oum El Bouaghi, Algeria ; Tolba, Zakaria : LIAOA Laboratory, Department of Mathematics and Computer Science, University of Oum El Bouaghi, Algeria ; Medkour, Mehdi : LIAOA Laboratory, Department of Mathematics and Computer Science, University of Oum El Bouaghi, Algeria ; Hadjadj, Anis : LIAOA Laboratory, Department of Mathematics and Computer Science, University of Oum El Bouaghi, Algeria ; Galland, Stéphane : UTBM, CIAD UR 7533, F-90010 Belfort, France

Słowa kluczowe

multi-agent systems ; system-level testing ; error detection ; artificial intelligence techniques ; deep learning

Wydział PAN

Nauki Techniczne

Zakres

e154062

Data

24.03.2025

Typ

article

Identyfikator

DOI: 10.24425/bpasts.2025.154062 ; ISSN 2300-1917