Human-Centric Functional Modeling and the Metaverse

Abstract

Human-Centric Functional Modeling represents systems in terms of functional state spaces defined through analogy with the functional state space hypothesized to be occupied by human cognition. These functional state spaces are hypothesized to define a complete representation of the human meaning of the system being modeled, and therefore are hypothesized to define the first complete semantic model of any given system, or of information itself. One potential use of functional state spaces is to represent the physical world or any virtual world. This paper explores the barriers to and implications of using Human-Centric Functional Modeling to define a functional state space as a semantic model of any real or imaginary world, and explores how those barriers and implications impact upcoming applications such as the metaverse proposed by the company formerly known as Facebook, as well as others.

Keywords

• Human-Centric Functional Modeling
• functional state space
• General Collective Intelligence
• metaverse

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