Humans have an innate/inborn ability to recognize and reason about systems. The ability is embodied in a subconscious language of thought which we assert is systemse.
Systems science aims to make this implicity lnaguage explicity in the form of a language of systems. This chapter proposes a mathematical definition of a sstem and a formal/extensible language of system
The system ontology is used to create a language of systems which is needed to express all of the elements of systemness. LoS has features of natural language for expression and features of a formal language for building computer models
We propose that the language of thought, “mentalese” is actually systemse. WE provide a formal definition of system framed in set/graph theoretic terms. The definition provides structure that applies to alls systems and is used as a guide to conducting analysis and capturing relevant information in a knowledgebase which is the source of building simulation models/specifications.
Language is able to describe the concept of a system, build simulations, let modelers test hypotheses that otherwise couldn’t be tested empirically.
The language of systems should be produced based on our understanding of human cognition and the nature of public language
The goal is to link how people communicate ideas about the world to each other and the ability to describe structures/functions of systems. Also to formalize the language so humans can effectively communicate with computers