Narrow Results

The relation between scatters of time and energy is well known in Classical and Quantum Physics, but the interpretations of such relation are not well understood. What is the meaning of a time scatter in a measurement? What is the meaning of the correlated energy gap? Why should they combine to give a value greater or equal to a theoretical lower bound? In this paper, we discuss uncertainty in measurement from the computational point of view and introduce the archetype of a generic stochastic oracle to a Turing machine.

In the paper, processes of self-organization in nature are considered as computational processes. At the same time, it is emphasized that various computational paradigms for the study of complex patterns are possible: reaction-diffusion computing, collision-based computing, swarm computing, quantum information, fuzzy balanced sets, fractals, nonlinear systems. These approaches allow complex patterns not only to be simulated, but also programmed.