Boolean algebras of conditionals, probability and logic
This paper presents an investigation on the structure of conditional events and on the probability measures which arise naturally in this context. In particular...
Author: Hykel
Depth-bounded Belief Functions
This paper introduces and investigates Depth-bounded Belief functions, a logic-based representation of quantified uncertainty. Depth-bounded Belief functions ar...
Possibilistic randomisation in strategic-form games
Since the seminal work of John Nash, convex combinations of actions are known to guarantee the existence of equilibria in strategic-form games. This paper intro...
We’re hiring, again!
POSTDOCTORAL RESEARCHER IN LOGIC Project: FORMAL ARGUMENTATION: A FRAMEWORK FOR RATIONAL REASONING AND LEARNING UNDER UNCERTAINTY IN AI D...
Strict coherence on many-valued events
We investigate the property of strict coherence in the setting of many-valued logics. Our main results read as follows: (i) a map from an MV-algebra to [0,1] is...
Big Data in Head and Neck Cancer
Head and neck cancers can be used as a paradigm for exploring “big data” applications in oncology. Computational strategies derived from big data sc...
We’re hiring!
POSTDOCTORAL RESEARCHER IN LOGIC Project: Logical Foundations and Applications of Depth-Bounded Probability Duration: 2 years We are look...
Data science and the art of modelling
Datacentric enthusiasm is growing strong across a variety of domains. Whilst data science asks unquestionably exciting scientific questions, we argue that its c...
Probabilità
Come smettere di preoccuparsi e imparare ad amare l’incertezza Dall’Avvertenza di Probabilità: come smettere di preoccuparsi e imparare ad amare l&#...
Rischio e incertezza nei modelli di interazione sociale
Biennale Democrazia ha reso disponibile la registrazione del mio dialogo con Andrea Prat, moderato da Gabriele Lolli il 2 aprile 2017.