Abstract
In the present work, the physical and mathematical principles of the non-force interaction theory are presented. It is shown that in the basis of this theory there are computer experiments within which there was simulated movement and interaction of material objects through the change of their hypothetical informational contents. The formulae of transformation of the hypothetical informational contents of material objects received from the information-probabilistic interpretation of mechanical movement were used in the experimental research to demonstrate that they also correspond to the processes of speech production in a human brain. The hypothesis, objective and tasks of the experimental research were defined. The methods and software tools were developed to conduct the experiments. To compare different results of the simulation of the processes in a human brain during speech production, there was a range of methods proposed to calculate the estimate of sequence of fragments of natural language texts including the methods based on linear approximation. The conducted experiments have proved that the formulae received from information-probabilistic interpretation of mechanical movement reflect the processes of speech production. It is shown that the offered approach can successfully be used to create systems of reactive artificial intelligence machines. Experimental and, presented in this work, practical results constitute that the non-force (informational) interaction formulae are generally valid.
Experimental Verification of General Validity of Non-force Interaction Formula
