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Logic of Assertions

Logic of assertions
Authors: Sales, Ton;

Logic of Assertions

Abstract

Summary: Logicians treat assertions as true, believed or merely hypothesized sentences. The reasoner who uses them, however, is the sole referee who can validate their truth, their aptness to describe an actual situation, their strength (as beliefs) or the relevance of their use in the current logical context. Moreover, the reasoner actively counts on these factors, as part of the reasoning process itself, and should normally be capable, when asked to do so, to assign consistently relative strengths to the assertions used. The paper assumes, first, that assertions have -- each -- an associated, measurable strength, and that, second, this strength has significant -- and measurable -- effects on the truth of the sentences, the validity of the conclusion and the soundness of the reasoning. The concepts and formulas required for this are explored, and a semantics and proof theory for a sentential calculus of assertions are proposed as a natural extension of ordinary two-valued reasoning. The resulting theory, though reminiscent of probability, is autonomous, self-contained and of a purely logical nature.

Country
Spain
Keywords

sentential calculus of assertions, many-valued logics, Many-valued logic, probabilistic semantics, probability logic, proof theory, Other nonclassical logic, Philosophical and critical aspects of logic and foundations, uncertainty, Probability and inductive logic, supervaluations, rational belief, logical semantics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green