A theory of contemplation

TL;DR

This paper extends Boolean logic methods to real-valued logic models capable of handling diverse data types and dimensions, enabling logical contemplation of complex data such as colors and spatial constructs.

Contribution

It introduces a novel real-valued logic framework based on Boolean-derived methods, allowing logical programming of arbitrary data ranges and dimensions.

Findings

Extended DNF representation to real-valued logic

Enabled logical modeling of colors and spatial data

Demonstrated application in game character logic

Abstract

In this paper you can explore the application of some notable Boolean-derived methods, namely the Disjunctive Normal Form representation of logic table expansions, and extend them to a real-valued logic model which is able to utilize quantities on the range [0,1], [-1,1], [a,b], (x,y), (x,y,z), and etc. so as to produce a logical programming of arbitrary range, precision, and dimensionality, thereby enabling contemplation at a logical level in notions of arbitrary data, colors, and spatial constructs, with an example of the production of a game character's logic in mathematical form.