This article sets forth a detailed theoretical proposal of how the truth of ordinary empirical statements, often atomic in form, is computed. The method of computation draws on psychological concepts such as those of associativ networks and spreading activation, rather that the concepts of philosophical or logical theories of truth. Axioms for a restricted class of cases are given, as well as some detailed examples. © 2004 Published by Elsevier B.V.
Suppes, P., & Béziau, J. Y. (2004). Semantic computations of truth based on associations already learned. Journal of Applied Logic, 2(4), 457–467. https://doi.org/10.1016/j.jal.2004.07.006