:: II Workshop – Bayesianismo: Fundamentos e Aplicações ::

Tutorial 1 (quarta às 10h00)
Entropic Inference.
Ariel Caticha (SUNY – Albany).

Abstract:
I would like to explore the possibility that the laws of physics are not laws of nature but merely rules to process information and carry out inferences about the world. If this turns out to be true then, in addition to the obvious constraints imposed by experiment, the form of the laws of physics should also be constrained by the actual rules for inference – which turn out to be those of probability theory and the method of maximum entropy.
Several questions arise immediately: How are these rules justified? Some assumptions must inevitably be made. Are they natural enough to be compelling? Would the resulting laws of such "information" physics resemble in any way the known and familiar laws of physics?
A well known example is the application of entropic methods to derive the laws of thermodynamics. What might at first sight be surprising is that the very same entropic principles can also be used to derive the dynamical laws of mechanics, both classical and quantum.

Promotion and Support:
			CAPES-Proex Pós–graduação em Estatística-USP