Cozman, Fabio Gagliardi 
; Mauá, Denis Deratani
Fonte: International Journal of Approximate Reasoning. Unidades: EP, IME
Assuntos: PROGRAMAÇÃO LÓGICA, COMPUTABILIDADE E COMPLEXIDADE
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ABNT
COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference. International Journal of Approximate Reasoning, v. 125, p. 218-239, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2020.07.004. Acesso em: 09 nov. 2025.APA
Cozman, F. G., & Mauá, D. D. (2020). The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference. International Journal of Approximate Reasoning, 125, 218-239. doi:10.1016/j.ijar.2020.07.004NLM
Cozman FG, Mauá DD. The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference [Internet]. International Journal of Approximate Reasoning. 2020 ; 125 218-239.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.07.004Vancouver
Cozman FG, Mauá DD. The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference [Internet]. International Journal of Approximate Reasoning. 2020 ; 125 218-239.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.07.004
