Self-Control and Biological Evolution
Fundamentals of the intelligent control offer an interesting interpretation of the link between natural intelligence and the capability of modeling natural phenomena. Let us consider the organism of an animal to be a closed, self-controlled dynamical system that lives in an open environment. If its nervous system is a center in which the dynamical model of the organism and the environment is created and stored then this model can be utilized to obtain an optimized behavior of the animal. For this purpose, the controlling signals in the center should be generated by reinforced variations that help find an improved system performance and create a proper model of the environment and the dynamical system. It is expected that the result would be an optimized movement of the animal in its environment which corresponds to a knowledge-based or intelligent behavior. According to this view, thinking can be interpreted as an internal representation of various situations and events. An imagination of possible future events and their consequences thus corresponds to the forecasting of system trajectories in the environment based on knowledge stored in the model. Making decisions, then is equivalent to taking such actions as are expected to lead to some optimal trajectory or favorable effect. We know from experience that the treatment of various tasks and problems in everyday life is, in fact, based on our expectations or predictions of benefits. A similar conclusion can also be drawn for the intelligent behavior of animals although we do not know operationally how they make decisions.
KeywordsOpen Environment Information Processing System Biological Evolution Optimal Trajectory Empirical Information
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