Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Fachada, N. & David, N. (2024). Artificial intelligence in modeling and simulation. Algorithms. 17 (6)
Exportar Referência (IEEE) 
N. Fachada and N. M. David,  "Artificial intelligence in modeling and simulation", in Algorithms, vol. 17, no. 6, 2024
Exportar BibTeX 
@null{fachada2024_1782877538974,
	year = "2024",
	url = "https://www.mdpi.com/journal/algorithms"
}
Exportar RIS 
TY  - GEN
TI  - Artificial intelligence in modeling and simulation
T2  - Algorithms
VL  - 17
AU  - Fachada, N.
AU  - David, N.
PY  - 2024
DO  - 10.3390/a17060265
UR  - https://www.mdpi.com/journal/algorithms
AB  - Modeling and simulation (M&S) serve as essential tools in various scientific and engineering domains, enabling the representation of complex systems and processes without the constraints of physical experimentation [1]. These tools have evolved significantly with the integration of artificial intelligence (AI), which offers advanced capabilities in essential aspects of M&S such as optimization [2,3], data analysis [4,5], and verification and validation [6]. AI’s capacity to enhance M&S is demonstrated in applications ranging from engineering [7] and physics [8,9] to social sciences [10] and biology [11], providing novel approaches to problem-solving and system understanding.
ER  -