52 citations · 114 across the 22 of their papers we have counts for
25 papers
Why AI Safety Requires Uncertainty, Incomplete Preferences, and Non-Archimedean Utilities
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
How can we ensure that AI systems are aligned with human values and remain safe? We can study this problem through the frameworks of the AI assistance and the AI shutdown games. Th…
The AI off-switch problem as a signalling game: bounded rationality and incomparability
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
The off-switch problem is a critical challenge in AI control: if an AI system resists being switched off, it poses a significant risk. In this paper, we model the off-switch proble…
Connecting classical finite exchangeability to quantum theory
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
Exchangeability is a fundamental concept in probability theory and statistics. It allows to model situations where the order of observations does not matter. The classical de Finet…
Why we should interpret density matrices as moment matrices: the case of (in)distinguishable particles and the emergence of classical reality
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
We introduce a formulation of quantum theory (QT) as a general probabilistic theory but expressed via quasi-expectation operators (QEOs). This formulation provides a direct interpr…
Belief Revision in Sentential Decision Diagrams
Lilith Mattei, Alessandro Facchini, Alessandro Antonucci
Belief revision is the task of modifying a knowledge base when new information becomes available, while also respecting a number of desirable properties. Classical belief revision…
Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption
Alessandro Antonucci, Alessandro Facchini, Lilith Mattei
Probabilistic sentential decision diagrams are a class of structured-decomposable probabilistic circuits especially designed to embed logical constraints. To adapt the classical Le…