A logical-semiotic filtering for economic data

Abstract

This paper presents the definition of a filter (i.e., a logical-semiotic detector that produces a cutoff in the amount of distorted information), and an algorithm for a first-order formal framework that would evaluate and check whether grounded formulas which predicates, involved in semiotic trees, are ambiguous terms in economics. A toy example in financial economics illustrates this heuristic-semiotic procedure.