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Hykel Hosni

Perspectives on Logic for Data-Driven Reasoning

dissemination, Publications

H. Hosni and J. Landes (eds), Perspectives on Logics for Data-Driven Reasoning, Springer 2025.

During the first half of the past century, logic emerged as the field dealing with the methodology of deductive systems. Today, data-intensive and AI-driven science call for a new methodology...

public engagement

ReDa @ “Aprire la scatola nera della scienza: gli effetti della competizione tra scienziati sulla credibilità della comunicazione scientifica”

Hykel Hosni presenta una relazione dal titolo Errore e incertezza: due chiavi di accesso alla cultura scientifica

Preprints

P. Baldi, E. A. Corsi, and H. Hosni, “A logical framework for data-driven reasoning”

We introduce and investigate a family of consequence relations with the goal of capturing certain important patterns of data-driven inference. The inspiring idea for our framework is the fact that...

presentations

ReDa team @ Probabilistic Reasoning in the Sciences

Esther Corsi presents A logical framework for data-driven reasoning (joint work with Paolo Baldi and Hykel Hosni)

publications

“A logical framework for data-driven reasoning” forthcoming in the Logic Journal of the IGPL

“A logical framework for data-driven reasoning” by Paolo Baldi, Esther Anna Corsi, and Hykel Hosni is forthcoming in the Logic Journal of the IGPL.

publications

“Logics for the new AI spring” Special Issue is now available on IJAR

The Special Issue “Logic for the new AI spring” edited on the International Journal of Approximate Reasoning by Tommaso Flaminio and Hykel Hosni is now avaialble.