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...
This paper presents an investigation on the structure of conditional events and on the probability measures which arise naturally in this context. In particular...
This paper introduces and investigates Depth-bounded Belief functions, a logic-based representation of quantified uncertainty. Depth-bounded Belief functions ar...
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...
POSTDOCTORAL RESEARCHER IN LOGIC Project: FORMAL ARGUMENTATION: A FRAMEWORK FOR RATIONAL REASONING AND LEARNING UNDER UNCERTAINTY IN AI D...
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...
Head and neck cancers can be used as a paradigm for exploring “big data” applications in oncology. Computational strategies derived from big data sc...
POSTDOCTORAL RESEARCHER IN LOGIC Project: Logical Foundations and Applications of Depth-Bounded Probability Duration: 2 years We are look...
Datacentric enthusiasm is growing strong across a variety of domains. Whilst data science asks unquestionably exciting scientific questions, we argue that its c...
Predicting the future state of a system has always been a natural motivation for science and practical applications. Such a topic, beyond its obvious technical ...
This paper introduces a logical analysis of convex combinations within the framework of Lukasiewicz real-valued logic. This provides a natural, albeit as yet un...