Quasi Conjunction, Quasi Disjunction, T-norms and T-conorms: Probabilistic Aspects
Angelo Gilio, Giuseppe Sanfilippo

TL;DR
This paper explores probabilistic bounds and inference rules related to quasi conjunction and disjunction of conditional events, connecting them with t-norms and t-conorms within a coherence-based framework, advancing nonmonotonic reasoning theory.
Contribution
It introduces a probabilistic analysis of quasi conjunction and disjunction, linking them to well-known t-norms and t-conorms, and develops new inference rules in a coherence-based setting.
Findings
Identifies bounds coinciding with known t-norms and t-conorms.
Defines Quasi And and Quasi Or rules for conditional events.
Analyzes probabilistic bounds and logical dependencies among events.
Abstract
We make a probabilistic analysis related to some inference rules which play an important role in nonmonotonic reasoning. In a coherence-based setting, we study the extensions of a probability assessment defined on conditional events to their quasi conjunction, and by exploiting duality, to their quasi disjunction. The lower and upper bounds coincide with some well known t-norms and t-conorms: minimum, product, Lukasiewicz, and Hamacher t-norms and their dual t-conorms. On this basis we obtain Quasi And and Quasi Or rules. These are rules for which any finite family of conditional events p-entails the associated quasi conjunction and quasi disjunction. We examine some cases of logical dependencies, and we study the relations among coherence, inclusion for conditional events, and p-entailment. We also consider the Or rule, where quasi conjunction and quasi disjunction of premises…
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