Abstract
Universal Logic is the study of the formal properties of logical systems in terms of the ways in which these formal features are found across systems of various kinds. A crucial example of this problematic is found at the heart of cognitive science. Brains are computers or computer-like things. But the digital logic of computers and the logic of computer programs do not correspond in any direct way with the processes of brains, either at the neural level, or at the level of psychological descriptions of reasoning and inference processes. There have been many approaches to this problem, typically involving the idea of some sort of brain-based universal semantics or syntactics that is realized in different forms in different languages. These accounts do not extend very successfully to other supposed forms of common tacit mental life, such as culture, climates of opinion, habitus, practices, norms, scripts, schemas, worldviews, and so forth. Nor do any of these concepts fit very well with known neural processes. The alternative approaches appeal to versions of the notion of individual habit, most recently summarized in a major book recently published by Cambridge University Press (Caruana in Habits: Pragmatist Approaches from Cognitive Science, Neuroscience, and Social Theory. Cambridge University Press, Cambridge, 2020). My approach is to see the language capabilities of each person as an assemblage of language patterns that have patterned relations to one another, and that are unique to each person. The evidence that this is how the brain actually works comes from bilinguals, who do not have two parallel downloaded language systems, but who have a mixed system with no neural separation between linguistic capacities. This is a better model for the heterogeneous tacit capacities that make up the logic of practices: an assemblage of patterns that allow for mutual interaction. What makes up the “system” are patterned forms of behavior that are recognized by others as “signals.” Language and linguistic expressions serve, among other things, as props to inferences: as substitutes for elements of inferences, and as surrogates for inferences, which enable extensions of inferences beyond experience. It is a “system” not in the sense that it corresponds to some neural structure, but in the sense that the patterns which are learned in the course of language learning have causal relations with one another in the brain, and in the behavioral responses of others, form the “signal system.”