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May 14, 2020: Marcelo Finger: Logic and Numbers. Combining logical reasoning with probabilities and counting

Seminars of Logic Logo

Logic Seminar on line organised by Logic Group of the Department of Philosophy "Piero Martinetti"

Marcelo Finger - University of Sao Paulo

Logic and Numbers. Combining logical reasoning with probabilities and counting

May 14, 2020, h. 17:00-19:00. Webinar on Microsoft Teams.

To participate, please contact the Logic Group.


Abstract: We present a research program which investigates the intersection of deductive reasoning with explicit quantitative capabilities. These capabilities encompass probabilistic reasoning, counting and counting quantifiers, and similar systems. The need to have a combined reasoning system that enables a unified way of reasoning with quantities has always been recognized in modern logic, as proposals of probabilistic logic reasoning are present since the work of Boole [1854]. Equally ubiquitous is the need to deal with cardinality restrictions on finite sets. More recently, a well-founded probabilistic theory has been developed for non-classical settings as well, such as probabilistic reasoning over Lukasiewicz infinitely-valued logic.


We show that there is a common way to deal with these several deductive quantitative capabilities, involving a framework based on Linear Algebra and Linear Programming. The distinction between classical and non-classical reasoning on the one hand, and probabilistic and cardinality reasoning on the other hand, comes from the different family of algebras employed. The quantitative logic systems also allow for the introduction of inconsistency measurements, which quantify the degree of inconsistency of a given quantitative logic theory, following some basic principles of inconsistency measurements.  


On the computational level, we aim at exploring quantitative logic systems in which the complexity of reasoning is  "only NP-complete".  We provide open-source implementations for solvers operating over those systems and study some notable empirical properties, such as the presence of a phase transition.  After a general introduction of the research program, we will detail the classical probabilistic reasoning engine.

Participation is strongly recommended to students of the Doctoral School in Philosophy and Human Sciences.

Everyone interested is welcome to attend.

The Logic Group, Department of Philosophy, University of Milan

Contact: logic.unimi@gmail.com

14 May 2020
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