There is ample scientific proof for the ability to universally categorize data based on structures exhibited in biology and in particular, cellular development. Detailed research indicates that it is possible to establish a scientific theorem, which formulates the basis for a valid methodology concerning human behavior, cognitive analysis and comprehension.
As an example, let us consider this cellular intelligence definition; “An intelligence cell contains a compartment which is capable of collecting and integrating a variety of physically different and unforeseeable signals as the basis of problem solving decisions.” There are numerous findings that clearly show cells have cognitive qualities.
Biological systems are a domain in which everything is based on a dynamic equilibrium between systems. This connects to complex systems, which studies the common properties of systems in nature, society and science. This leads to new approaches for comprehension models. These new models will stimulate thinking; create improved insight, and clarity. This is due to the principles discovered within biological development. This enables groundbreaking approaches to problem solving. For example, cellular development has unlocked key principles of organization.
The pursuit of biological or Natural Systems enables multiple customized solutions, rather than a one solution fits all approach.
Relatively little is known about the mechanisms that produce the complex organization of a living cell. Understanding the mechanisms that generate patterns and organization in cells has been identified by natural science as a key challenge for the millennium. However, that took a dramatic turn when Watson and Crick of DNA fame, described Chaos as patterns in nature. A number of brilliant twentieth century scientists such as Von Bertalanffy, Ilya Prigogine, David Bohn, and Karl Pribram, all related that everything in the universe is comprised of systems. There are closed systems, in which components interact only among themselves, and open systems, comprised of components that interact with each other only after receiving inputs of matter, energy, or information from an outside environment. All of these scientists believe that systems are dynamics patterns of organization in which the system as a whole is more important than its constituent’s parts or hierarchies.
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