.jpg)
Mirce Mechanics - scientific study of the motion of a system functionality through functionability space in respect to time, to:
- Experimentally determine the pattern of the motion
- Scientifically understand mechanisms of the motion
- Mathematically define laws of the motion
- Predict the pattern of the motion for a given system
To achieve the above listed objectives, Mirce Mechanics concept, principles and methods have evolved from the experimental, theoretical, computational and applied aspects of research, each of which is briefly described below.
Experimental Mirce Mechanics focuses of the determination of the pattern of the motion of a system through functionability space resulting from the occurrence of functionability events. Existing experimental and observed data clearly demonstrate that a large number of "identical" individuals systems deliver a large number of different functionability patterns, while delivering”identical" functionality. Consequently, the only way to determine the pattern of the motion of a system through functionability space in respect to time is to use statistical methods to calculate the average pattern across all observed patterns. However, as statistics does not study the causes of statistical behaviour it is Mirce Mechanics task to scientifically understand the mechanisms that cause the motion of a system through functionability space. Thus, functionability phenomena that cause occurrence of positive and negative functionability events are subjected to the analyses within physical scale between 10-10 metre (for the understanding atomic/molecular phenomena) and 10+10 metre (for the understanding of the space and environmental phenomena).
Theoretical Mirce Mechanics focuses of the mathematical definition of the patterns of the motion of system functionability through functionability space. Mathematically define laws of the motion of system functionality through functionability space in respect through time, which accurately represents the observed pattern, are formulated be a set of expressions, named Mirce Functionability Equations, developed, by Dr J. Knezevic at the MIRCE Akademy. They define, in the probabilistic terms, the expected patterns of functionability trajectory and associated measures for a given system, operational rules and conditions. Although the laws of probability are just as rigorous as other mathematical laws they are not able to predict the motion of each individual system through functionability space, they can only predict the probability of each individual system being in a given functionability state at a given instant of time.
Computational Mirce Mechanics focuses on computation of Mirce Functionability Equations for a given system and given in-service rules and conditions, as the analytical solutions to these equations are too complicated to be solved mathematically. Consequently, it is the task of Mirce Mechanics to develop effective computational methods that will enable construction of models that accurately represent the observed reality of system behaviour, rather than to simplify system reality to cope with mathematical limitations. The Monte Carlo method has proved very successful in Quantum Mechanics for finding practical solutions to multi-dimensional integral equations which are of similar nature to those of the Mirce Mechanics.