Mirce science: Philosophy
“Everything that the human race has
done and thought is concerned with the satisfaction of felt needs.” A. Einstein
Human needs for transporting, communicating, defending, entertaining and many other functions are satisfied by ships, aircraft, tractors, computers, radios and other machines. As they are functioning in accordance to the laws of science, which are independent of time, place and human impact, their design-in performance, like speed, acceleration, fuel consumption, power, and many others, are accurately predictable.
However, experience teaches us that in-service performance of these machines gets discontinued by imposing phenomena of in-service reality, like: fatigue, operator induced errors, corrosion, creep, foreign object damage, a faulty weld, bird strike, perished rubber, shark bites, carburettor icing, space radiation, to name just a few. Consequently, maintaining the design-in performance beyond the delivery day requires a work to be done on a machine, like: troubleshooting, repairs, replacements, modifications, diagnostics, “cannibalisation”, change of operational location/mode, and so forth. Thus, the motion of machines through in-service reality is governed by natural and human actions that are manifested through occurrences of observable in-service events mentioned above.
Consequently, the cumulative amount of "satisfied needs", measured by the work done by machines and the work done by humans to keep them working during a stated period of in-service time become known through post-service statistical analysis of data collected and presented through histograms and pie-charts. The reason for this is the fact that the motion of machine through in-service reality is characterised by uncertainty, discontinuity, irreversibility, inseparability and dependence of time, location and humans.
For over 60 years Dr Knezevic has been conducted a systematic research focused on the full understanding of the causing mechanisms of the motion of machines through in service time, and the development of a theory for the prediction of the expected in-service performance of machines, concurrently with the predictions of their design-in performance with existing theories. As these performances are mutually dependent, dealing with them simultaneously is essential for the successful satisfaction of felt needs.
The philosophy of Mirce science is based on the premise that the purpose of existence of any machine is to do the expected work, which is considered to be done when a measurable function(s) is delivered through in-service time.
The fundamentals of the Mirce philosophy are based on the extensive physical observations of the motion of machines through in-service reality conducted to determine a body of knowledge required for the accurate predictions of in-service performance to be made.
The first premise of Mirce philosophy is that at any instant of in-service time a machine could be in one of the following two external states:
- Positive State (PS) – measurable function(s) is being performed
- Negative State (NS) – measurable function(s) is not being performed, for whatsoever reason.
The motion of a machine through in-service states during in-service time is govern by the compelling actions that are classified as following:
- Positive Action (PA) - any natural process or human activity that compels a machine to move to a PS
- Negative Action (NA) - any natural process or human activity that compels a machine to move to a NS.
The motion of a machine through in-service states is physically observed through sequential occurrences of in-service events, which are classified as following:
- Positive Event (PE) - any physically observable occurrence that signifies the transition of a machine from a NS to a PS,
- Negative Event (NE) - any physically observable occurrence that signifies the transition of a machine from a PS to a NS.
In summary, the pattern of the motion of a machine through in-service states is uniquely defined by the combined impacts of built-in properties of a machine, on one hand, and impacting actions of in-service reality, positive and negative, on the other.
In-service performance of machines is quantified by:
- Positive Work (PW) - the cumulative amount of time spent in PS, during the specified length of the in-service time T, PW(T)
- Negative Work (NW) - the cumulative amount of time spent in NS, during the cumulative length of the in-service time T, NW(T)
The development of science started when people began to study phenomena not merely observing them. People developed instruments and learned to trust their readings, rather than to rely on their own perceptions. They recorded the results of their measurements in the form of numbers. Supplied with these numbers they began to seek relationships between them and to write down in the language of mathematics. Then thorough equations they began to predict things they could not physically experience.
The governing principles of Mirce philosophy are the foundation for the development of the framework for the quantitative predictions of the motion of machines through in-service reality by the Mirce mechanics.
Source: Knezevic, J., The Origin of MIRCE Science, pp. 232, MIRCE Science, Exeter, UK, 2017, ISBN 978-1-904848-06-6