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Human-Centric Functional Modeling

Human cognition can be represented as using reasoning processes to navigate concepts. This set of concepts connected by reasoning processes can be represented as a functional state space, a directed graph containing a network of nodes, each node representing a concept, where those nodes are connected by edges, each edge representing a reasoning process. This functional state space represents the behavior of the human organism in the domain of cognition, but the human organism can be observed to have behaviors in other domains as well, such as the domain of the sensory-motor system, the emotional system, and the conscious self-awareness system. What is unique about the cognitive system however, is that all conscious properties of cognition can by definition be conceptualized. Therefore, by understanding how to construct the conceptual space navigated by the cognitive system, we can potentially understand how to construct the functional state space navigated by any other system. This capacity to define functional state spaces that provide functional models which can significantly aid in understanding any external system, and that fact that this capacity is achieved through looking inward to gain a better understanding of human cognition is the reason that this functional modeling approach is called “human-centric”.

Assuming that every domain of behavior of every dynamical system can be represented in terms of a functional state space, then Human-Centric Functional Modeling enables a functional state space for describing the behavior of that system in that domain to be constructed so that it might be possible for the system to be understood in a common way for everyone. Where the conceptual space has been defines as the functional state space of the cognitive system, a number of other functional state spaces have also been defined for other systems. The distinction between defining a conceptual space to represent thoughts about the behavior of the system, and defining a functional state space to represent the behavior of the system, is that thoughts about the behavior might not be confined to real behavior the system is capable of.

One functional state space has been defined to represent the behavior of any object in the physical universe. Because the behavior of any object in the physical universe is its “physics”, this functional state space is hypothesized to provide a complete model of observable physics. In addition, an entire hierarchy of functional state spaces has been defined to represent any functionality of living organisms, from homeostasis, to reproduction, to consciousness. Yet other functional state spaces have been defined to represent software in various domains such as the blockchain. All of these functional state spaces share the common goal of creating the potential capacity for an exponential increase in general problem-solving ability within those domains. Whether in the case of physics, biology, or any other discipline in which systems might be modeled this way, this suggests the opportunity to radically accelerate the progress of research.