A Category Theory of Communication Theory
Eric Werner

TL;DR
This paper develops a formal framework using category theory to model how agents learn and understand language through operators that transform their representational states, involving higher-order transformations.
Contribution
It introduces a novel categorical formalization of language understanding, emphasizing higher-order operators and their role in learning language meanings.
Findings
Formalizes language understanding using category theory concepts.
Defines higher-order operators for modeling language acquisition.
Provides a diagrammatic approach to represent transformations in understanding.
Abstract
A theory of how agents can come to understand a language is presented. If understanding a sentence is to associate an operator with that transforms the representational state of the agent as intended by the sender, then coming to know a language involves coming to know the operators that correspond to the meaning of any sentence. This involves a higher order operator that operates on the possible transformations that operate on the representational capacity of the agent. We formalize these constructs using concepts and diagrams analogous to category theory.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Computability, Logic, AI Algorithms · Advanced Algebra and Logic
