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Probabilistic logic programming with multiplicative modules

Abstract : This paper illustrates a simple idea on how to interpret undecompsable generalized multiplicative modules of linear logic as probabilistic methods of a logic prgramming language. These new modules/methods allow to express kinds of propagation of probability distribution inside Bayesian Networks that cannot be expressed by standard Prolog-like programming languages.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-03271511
Contributor : Isabelle Gouat <>
Submitted on : Friday, June 25, 2021 - 7:05:58 PM
Last modification on : Friday, June 25, 2021 - 7:11:57 PM

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Roberto Maieli. Probabilistic logic programming with multiplicative modules. 5th International Workshop on Trends in Linear Logic and Applications (TLLA 2021), Jun 2021, Rome (virtual), Italy. ⟨lirmm-03271511⟩

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