# Modelling informational entropy

## TL;DR

This paper introduces a logical framework that incorporates the concept of informational entropy, representing inherent limits to knowledge, into semantic and deductive systems to model situations where such entropy arises.

## Contribution

It presents a novel logical framework that integrates informational entropy into semantic and deductive reasoning, enabling modeling of knowledge boundaries.

## Key findings

- Framework effectively models knowability limits
- Incorporates perceptual, theoretical, evidential, linguistic boundaries
- Provides a basis for analyzing informational entropy in logic

## Abstract

By 'informational entropy', we understand an inherent boundary to knowability, due e.g. to perceptual, theoretical, evidential or linguistic limits. In this paper, we discuss a logical framework in which this boundary is incorporated into the semantic and deductive machinery, and outline how this framework can be used to model various situations in which informational entropy arises.