Доклад Виктории Денисовой и Рикардо Пераса Кавассане «Applying the theory of quasi-truth for clarification of cognitive distortions»

Dr. Ricardo Peraça Cavassane
a postdoctoral researcher at the Centre for Logic, Epistemology and the History of Science (CLE) at the University of Campinas, Brazil

MSc Viktoriia Denisova
 a PhD candidate and a research assistant at the International Laboratory for Logic, Linguistics and Formal Semantics of the National Research University Higher School of Economics, Moscow, Russia

"Applying the theory of quasi-truth for clarification of cognitive distortions"

Abstract
We begin by examining Beck's cognitive model, focusing on its three key components: the cognitive triad, schemas, and cognitive errors. Our analysis emphasizes cognitive errors, particularly cognitive distortions, as a subset of these errors. The presentation then delves into a systematic review of Beck's identified thinking errors. We argue that many cognitive distortions can be understood as errors in deductive reasoning, often stemming from invalid premises or flawed logical forms. By applying principles of the theory of quasi-truth, we demonstrate how cognitive distortions can be reframed as instances of reasoning with inconsistent or incomplete information and negative assumptions. That is, by adding negative assumptions to the set of primary sentences P of a simple pragmatic structure A, the individual can only construct the A-normal structures which are consistent with those assumptions and, therefore, can only come to negative quasi-true conclusions. This approach provides a more nuanced understanding of how individuals with depression process information and make inferences about themselves, their experiences, and their future.