Synthesis of chaotic space-time structures by swarm of control objects

The problems of constructing chaotic space-time structures by a swarm of control objects of small sizes have been considered. The most methods for movement simulation are developed for the conditions, when the object's form, movement environment, and control strategies are rather well known. In this paper the chaos organization model is constructed as a model of Craig Reynolds' swarm movement, into which special fuzzy coefficients are introduced. Varying these coefficients allows influencing the size of the swarm and significantly changing the relative position of the swarm elements. When such structures are created, the errors in predicting the further actions of the swarm increase and the assessment of the swarm behavior by an external observer becomes much more difficult. We have shown that for the case when the group forms a swarm, the size and shape of the swarm are essential for forecasting. The paper shows that the introduction of special coefficients into the well-known algorithm of Craig Reynolds' swarm movement can provide such rearrangements.