On the algorithmic behaviour of complex physical systems
General Physics
2012-07-24 v1
Abstract
Starting from the idea that the underlying mechanisms driving the observable processes in nature are algorithmic, we exemplify this in two ways: nature works as a computing machine and thus the processes running on it optimize themselves in an intrinsic manner so as to save time. As a first example we will place the empirical analysis of oxidation in the context of algorithm complexity analysis. Second, we will show that deformations suffered by a shape-memory alloy may be produced by nature showing a LIFO (Last In First Out) behaviour.
Cite
@article{arxiv.1207.5398,
title = {On the algorithmic behaviour of complex physical systems},
author = {D. A. Pop and G. M. Mocanu and G. Arghir},
journal= {arXiv preprint arXiv:1207.5398},
year = {2012}
}
Comments
version very similar to the published one