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...
Read moreD’Agostino, M., Larese, C., & Modgil, S. (2025). Extending Depth-Bounded Reasoning to First-order Logic. Journal of Applied Logics: The IfCoLog Journal of Logics and their Applications, 12(6), 1415–1441. Abstract: This paper...
Read moreHosni, H., & Landes, J. (2025). What follows from all that data? Logic in the methodology of data-intensive and AI-driven science. Journal of Applied Logics: The IfCoLog Journal of Logics and...
Read more“BOID for smart scheduling: Integrating default logic and embedding models for interpretable personalization“, by S. Pandžić, F. Dijkshoorn, J. Broersen, in: Multi-Agent Systems, The 22nd European Conference, EUMAS 2025, Bucharest, Romania,...
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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...
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