What is the fundamental structure of information? What is the common structure that can equally describe the rigors of math and logic, but also describe the subtleties and nuance of art and poetry and language itself? What structure can handle all information, from the ground up to the sky’s edge, from hard facts to the wildest imaginations, and help reveal the hidden truths of their nature? What is the language of abstraction and metaphor? What is the language of comprehension and learning?
Introducing set networks. I’ve been developing set networks to provide a descriptive language that is rigorous and machine readable, but also flexible and capable of handling the ambiguity of natural language and context. Here I will describe a way of describing all information at any level of scope or ambiguity in terms of sets of symbols and sets.
The purpose of this language is to be able to describe operating structure behind any language or idea, from math and programming languages, to human linguistic languages, to genetic code and other natural information.
Note that this is not intended to be the only way or the definitive way of describing these languages. It is only intended as a sufficient way. There are no doubt a multitude of other ways of describing the same as, for instance, the language that I’m using right now is doing. My purpose is to create a standard method of description that, like any language, may be used and translated to other methods of description, but also to be a bit more machine readable and universally applicable. The language is only a metaphor.
