Interpreting connexive principles in coherence-based probability logic
Niki Pfeifer, Giuseppe Sanfilippo

TL;DR
This paper explores how coherence-based probability logic can be used to evaluate connexive principles, emphasizing the probabilistic constraints that uphold the intuition that certain conditionals should not hold when their antecedent contradicts their consequent.
Contribution
It introduces two probabilistic approaches within coherence-based logic to analyze connexive principles, including new notions of validity and connections between conditionals.
Findings
Probabilistic assessment of $A|ar{A}$ must be 0 for coherence.
Connexive principles can be analyzed via probabilistic constraints on conditionals.
Coherence-based logic provides a rich framework for connexive logic analysis.
Abstract
We present probabilistic approaches to check the validity of selected connexive principles within the setting of coherence. Connexive logics emerged from the intuition that conditionals of the form "If , then ", should not hold, since the conditional's antecedent contradicts its consequent . Our approach covers this intuition by observing that for an event A the only coherent probability assessment on the conditional event is . Moreover, connexive logics aim to capture the intuition that conditionals should express some "connection" between the antecedent and the consequent or, in terms of inferences, validity should require some connection between the premise set and the conclusion. This intuition is covered by a number of principles, a selection of which we analyze in our contribution. We present two approaches to…
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