The constrained disorder principle (CDP) defines all systems in the universe by their inherent variability and underlies their proper functioning. According to this principle, variability underlies every biological process and is fundamental to the proper functioning of systems. The CDP explains that internal and external noise is necessary for biological systems to function appropriately, provided it is kept within dynamic boundaries, enabling adaptation to perturbations. Many phenomena in biological systems are complex to describe using current rules, but can be explained by quantum effects. The paper discusses data on quantum randomness, which may be attributed to the CDP. It describes CDP-based second-generation artificial intelligence systems that introduce variability into biological systems to enhance their functionality. The paper outlines the potential of utilizing CDP-based quantum randomness for various applications, including leveraging quantifiable variables of quantum randomness to address malfunctions in biological processes and enhance the efficiency of biological systems.
Yaron Ilan (Thu,) studied this question.