most citedInterpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education

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cs.AI2026

Jev thinks "I don't know'', but doesn't say it: Introducing Sys1Cal-v1 Dataset for Probability Calibration

Riccardo Porcedda

The appearance of Jev marked the era of System One Models, foundation models that return structured decisions with probability distributions rather than text. Aside from low cost a…

cs.AI2026

Towards Agentic Agent-based Models: Feasibility, Performance, and Statistical Model Checking

Stefano Blando, Emanuele Guerrazzi, Riccardo Porcedda +3

Agent-based models (ABMs) rely on simple, explicit and reproducible rules for individual decision making, while complex collective behavior emerges from interactions among agents.…