Wholistic processing of uncertainty in synergetic computing systems

Uncertainty is often dealt with by simulating probability, possibility, or belief theories with string-symbolic languages implemented on digital computers; heuristic algorithms of interference are based on different kinds of binary or multivalued logic. In this paper the author suggests that computation and uncertainty may be managed naturally by synergetic, self-organizing dynamical physic systems, which are trained and are regulated to function as `computing machines´