A Unicist Ontological Approach to Adaptive Environments
The objective of the Unicist Approach to Complexity Sciences developed by Peter Belohlavek was to find a scientific approach to understand nature and provide a structure to emulate it when designing, building or managing complex adaptive systems.
The unicist approach to complexity is based on the research of the unicist ontological structure of a complex adaptive system which regulates its evolution. This is based on emulating the structure of the unicist ontogenetic intelligence of nature considering that every functional aspect of reality has a unique unicist ontological structure that is defined by its ontogenetic map.
We define nature as the adaptive system, with open boundaries, that establishes the context of human life. It is integrated by living beings, objects, functions and processes whose functionality does not depend on human experience or observation.
When we talk about “natural”, as an attribute of an adaptive function, what we mean is that it has a concept that fulfills an intrinsic purpose the underlies specific functionalities. E.g “natural organization”.
The Unicist Research Institute has been, since 1976, the pioneer in complexity sciences applied to evolution. It developed the first scientific approach to understand and manage social and institutional evolution as adaptive environments.
It was one of the precursors of the 4th Industrial Revolution that introduced the unicist ontogenetic maps to manage complexity to deal with adaptive systems. It develops the necessary knowledge, technologies and cognitive systems, using Unicist Artificial Intelligence, to manage social and business environments as adaptive systems. These solutions are provided to the market by its business arm and academic arm.