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Fabio G. Cozman [4]Fabio Gagliardi Cozman [3]
  1. Sets of Probability Distributions, Independence, and Convexity.Fabio G. Cozman - 2012 - Synthese 186 (2):577-600.
    This paper analyzes concepts of independence and assumptions of convexity in the theory of sets of probability distributions. The starting point is Kyburg and Pittarelli’s discussion of “convex Bayesianism” (in particular their proposals concerning E-admissibility, independence, and convexity). The paper offers an organized review of the literature on independence for sets of probability distributions; new results on graphoid properties and on the justification of “strong independence” (using exchangeability) are presented. Finally, the connection between Kyburg and Pittarelli’s results and recent developments (...)
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  2.  1
    Sequential Decision Making with Partially Ordered Preferences.Daniel Kikuti, Fabio Gagliardi Cozman & Ricardo Shirota Filho - 2011 - Artificial Intelligence 175 (7-8):1346-1365.
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  3. Credal networks.Fabio G. Cozman - 2000 - Artificial Intelligence 120 (2):199-233.
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  4. The Complexity of Bayesian Networks Specified by Propositional and Relational Languages.Fabio G. Cozman & Denis D. Mauá - 2018 - Artificial Intelligence 262:96-141.
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    Towards Classifying Propositional Probabilistic Logics.Glauber De Bona, Fabio Gagliardi Cozman & Marcelo Finger - 2014 - Journal of Applied Logic 12 (3):349-368.
  6.  8
    Assembling a Consistent Set of Sentences in Relational Probabilistic Logic with Stochastic Independence.Cassio Polpo de Campos, Fabio Gagliardi Cozman & José Eduardo Ochoa Luna - 2009 - Journal of Applied Logic 7 (2):137-154.
  7.  5
    On the Imprecision of Full Conditional Probabilities.Gregory Wheeler & Fabio G. Cozman - 2021 - Synthese 199 (1-2):3761-3782.
    The purpose of this paper is to show that if one adopts conditional probabilities as the primitive concept of probability, one must deal with the fact that even in very ordinary circumstances at least some probability values may be imprecise, and that some probability questions may fail to have numerically precise answers.
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