The purpose of the unicist functionalist approach to science is to define the actions that make “things” work. It is based on the use of functional knowledge to manage the real world that integrates the know-how and the know-why of “things”.
The unicist functionalist approach to science was developed by Peter Belohlavek at The Unicist Research Institute. Before this approach, there was no knowledge that all the things that are part of a system have a structure, which defines their functionality.
This structure can be known or unknown, but its functionality can be measured by the emergences. The knowledge of the functional structure of things required building a bridge between physics and metaphysics, which has been called functional knowledge and defines the triadic structure of the functions that make any system work.
This structure is defined by a purpose, an active and entropic function, and an energy conservation function. These elements are integrated by the complementation and supplementation laws and their functionality is driven by the laws of the unicist logic, which is an emulation of the ontogenetic intelligence of nature.
The Functionalist Approach to Science made possible:
- Developing the unicist logic to manage the functionality of the real world
- Researching and defining the functional structure of things to make them work
- Developing synchronized binary actions that ensure results
- Developing the Unicist AI, based on the unicist logic, that emulates human decision making
This approach opens the possibility of dealing with adaptive environments and understanding and influencing the evolution of things.
Managing the Functionality of Things
There is nothing in the universe, which is part of a system, that does not work with a purpose, an active function, and an energy conservation function, integrated by complementation and supplementation laws, that define its concept.
This approach is based on the discovery of the triadic structure of the intelligence that underlies nature that defines the principles of its functionality and led to the development of the unicist logic that allows managing the intelligence that manages the functionality of “things”.
This approach uses the unicist ontological approach to describe the triadic functionality of the fundamentals of “things” defined by a purpose, an active function, and an energy conservation function. It provides the functional knowledge, which allows defining the binary actions that make “things” work.
Such functionality is driven by supplementary and complementary relationships between the entities of a system and the binary actions that ensure the functional operation.
The unicist approach defines that the functionality of things aims at a purpose, which is defined by an objective to be achieved, is driven by an active function that is based on the use of binary actions and is sustained by an energy conservation function defined by the underlying conceptual structure.