A theory of contemplation
This work proposes a novel approach for applying logic to continuous and multi-dimensional data, potentially benefiting fields like AI and game development, though it appears incremental as an extension of existing Boolean methods.
The paper tackles the problem of extending Boolean logic methods to real-valued logic models with arbitrary ranges and dimensions, enabling logical programming for diverse data types including colors and spatial constructs, with a demonstration using game character logic.
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.