Overcoming the limits of natural computation in biological evolution toward the maximization of system efficiency

The goal-directedness of biological evolution is realized via the anticipatory achievement of the final state of the system that corresponds to the condition of its perfection in self-maintenance and in adaptability. In the course of individual development, a biological system maximizes its power via synergistic effects and becomes able to perform external work most efficiently. In this state, defined as stasis, robust self-maintaining configurations act as attractors resistant to external and internal perturbations. This corresponds to the local energy-time constraints that most efficiently fit the integral optimization of the whole system. In evolution, major evolutionary transitions that establish new states of stasis are achieved via codepoiesis, a process in which the undecided statements of existing coding systems form the basis for the evolutionary unfolding of the system by assigning new values to them. The genetic fixation of this macroevolutionary process leads to new programmes of individual development representing the process of natural computation. The phenomenon of complexi?cation in evolution represents a metasystem transition that results in maximization of a system's power and in the ability to increase external work performed by the system.

Automated summary

The goal of biological evolution is achieved by anticipating and attaining a self-maintaining and adaptable final state of the system. During individual development, biological systems maximize their energy through synergistic effects and become efficient in performing external work. Major evolutionary transitions are achieved through codepoiesis, where undecided statements in existing coding systems form the basis for assigning new values. The complexity in evolution leads to increased power and the ability to perform more external work.