11 found
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  1.  9
    Probability and time.Marco Zaffalon & Enrique Miranda - 2013 - Artificial Intelligence 198 (C):1-51.
  2.  20
    Desirability foundations of robust rational decision making.Marco Zaffalon & Enrique Miranda - 2018 - Synthese 198 (Suppl 27):6529-6570.
    Recent work has formally linked the traditional axiomatisation of incomplete preferences à la Anscombe-Aumann with the theory of desirability developed in the context of imprecise probability, by showing in particular that they are the very same theory. The equivalence has been established under the constraint that the set of possible prizes is finite. In this paper, we relax such a constraint, thus de facto creating one of the most general theories of rationality and decision making available today. We provide the (...)
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  3.  6
    Independent natural extension.Gert de Cooman, Enrique Miranda & Marco Zaffalon - 2011 - Artificial Intelligence 175 (12-13):1911-1950.
  4.  2
    2U: an exact interval propagation algorithm for polytrees with binary variables.Enrico Fagiuoli & Marco Zaffalon - 1998 - Artificial Intelligence 106 (1):77-107.
  5.  17
    A Gleason-Type Theorem for Any Dimension Based on a Gambling Formulation of Quantum Mechanics.Alessio Benavoli, Alessandro Facchini & Marco Zaffalon - 2017 - Foundations of Physics 47 (7):991-1002.
    Based on a gambling formulation of quantum mechanics, we derive a Gleason-type theorem that holds for any dimension n of a quantum system, and in particular for \. The theorem states that the only logically consistent probability assignments are exactly the ones that are definable as the trace of the product of a projector and a density matrix operator. In addition, we detail the reason why dispersion-free probabilities are actually not valid, or rational, probabilities for quantum mechanics, and hence should (...)
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  6.  3
    Coherence graphs.Enrique Miranda & Marco Zaffalon - 2009 - Artificial Intelligence 173 (1):104-144.
  7.  3
    Updating beliefs with incomplete observations.Gert de Cooman & Marco Zaffalon - 2004 - Artificial Intelligence 159 (1-2):75-125.
  8.  15
    The Weirdness Theorem and the Origin of Quantum Paradoxes.Alessio Benavoli, Alessandro Facchini & Marco Zaffalon - 2021 - Foundations of Physics 51 (5):1-39.
    We argue that there is a simple, unique, reason for all quantum paradoxes, and that such a reason is not uniquely related to quantum theory. It is rather a mathematical question that arises at the intersection of logic, probability, and computation. We give our ‘weirdness theorem’ that characterises the conditions under which the weirdness will show up. It shows that whenever logic has bounds due to the algorithmic nature of its tasks, then weirdness arises in the special form of negative (...)
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  9.  5
    Entropy-based pruning for learning Bayesian networks using BIC.Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani & Marco Zaffalon - 2018 - Artificial Intelligence 260 (C):42-50.
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  10.  7
    On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables.Denis Deratani Mauá, Cassio Polpo de Campos & Marco Zaffalon - 2013 - Artificial Intelligence 205 (C):30-38.
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  11.  3
    Compatibility, desirability, and the running intersection property.Enrique Miranda & Marco Zaffalon - 2020 - Artificial Intelligence 283 (C):103274.
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