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A non-fundamental technology demonstration, but no less exciting, is the use of stateless deterministic physics simulations of new physical systems to deduce the past state of physics from the future state of an object, in a sense recreating what is described in this passage Ideal:
"We may regard the present state of the universe as the effect of its past and the cause of its future. An intellect which at a certain moment would know all forces that set nature in motion, and all positions of all items of which nature is composed, if this intellect were Also vast enough to submit these data to analysis, it would embrace in a single formula the movements of the greatest bodies of the universe and those of the tiniest atom; for such an intellect nothing would be uncertain and the future just like the past would be present before its eyes."
In a subsequent stage, we can try to predict the overall state of the entire motion system in the near future with incomplete data (the state of each component element in the local system)
From this we will know how far into the simulatable future/how accurate the simulatable future is corresponding to the measurement accuracy, the degree of contact of individual elements with other elements. We will also know how long is the time window in which everything is fate, how the accuracy of the prediction will disappear before our eyes, and the orderly prediction will turn into an incomprehensible chaos in an instant.
From a performance point of view, we can try to use extremely simple code, completely unoptimized code in the sense of mathematical logic to directly simulate these phenomena. Instead of incomprehensible and unintuitive "theoretical models", we can directly reproduce thought experiments that require unacceptable computational complexity, which can be very pedagogical.
This is similar to performing ray tracing image rendering directly on a high-speed GPU by simulating the particle behavior of photons without the aid of computing acceleration data structures and post-processing noise reduction techniques.
At the same time, this system should have no chaotic effect in theory, because we know the most accurate value of the initial variable, and the chaos that spreads over time should be caused by the calculation accuracy, which may be related to the hardware and the lowest algorithm in the computer world, because our The basis of calculation is not exact.
The text was updated successfully, but these errors were encountered:
https://github.com/Unity-Technologies/EntityComponentSystemSamples/tree/master/PhysicsSamples
A non-fundamental technology demonstration, but no less exciting, is the use of stateless deterministic physics simulations of new physical systems to deduce the past state of physics from the future state of an object, in a sense recreating what is described in this passage Ideal:
In a subsequent stage, we can try to predict the overall state of the entire motion system in the near future with incomplete data (the state of each component element in the local system)
From this we will know how far into the simulatable future/how accurate the simulatable future is corresponding to the measurement accuracy, the degree of contact of individual elements with other elements. We will also know how long is the time window in which everything is fate, how the accuracy of the prediction will disappear before our eyes, and the orderly prediction will turn into an incomprehensible chaos in an instant.
From a performance point of view, we can try to use extremely simple code, completely unoptimized code in the sense of mathematical logic to directly simulate these phenomena. Instead of incomprehensible and unintuitive "theoretical models", we can directly reproduce thought experiments that require unacceptable computational complexity, which can be very pedagogical.
This is similar to performing ray tracing image rendering directly on a high-speed GPU by simulating the particle behavior of photons without the aid of computing acceleration data structures and post-processing noise reduction techniques.
At the same time, this system should have no chaotic effect in theory, because we know the most accurate value of the initial variable, and the chaos that spreads over time should be caused by the calculation accuracy, which may be related to the hardware and the lowest algorithm in the computer world, because our The basis of calculation is not exact.
The text was updated successfully, but these errors were encountered: