Epstein Secrets

uishing chaos from measurement error in time series. Nature 344:734-741. Sullivan, D. (1979) Rufus Bowen. Publ. Math. |.H.E.S. 50:255 Szeto, H.H., Cheng, P.Y., Decena, J.A., Cheng, Y., Wu, D., Dwyer, G. (1992) Fractal properties in fetal breathing dynamics. Am. J. Physiol. 263:R141-R147. Takahashi, N

actals 3:893-904 Seneta, E. (1981) Non-negative Matrices and Markoff Chains. Springer-Verlag, New York. 286 HOUSE_OVERSIGHT_013786 Shannon, C.D., Weaver, W. (1949) The Mathematical Theory of Communication. University of Illinois Press, Urbana Sharkovskii, A.N. (1964): Coexistence of the cycles of a

We avoid the temptation to deal with the deep analogy between thermodynamic entropy (Clausius, 1897) and information theoretic entropy (Shannon and Weaver, 1949), constraining our discussion to the context of an operational equivalence (in healthy systems) between gain of information and 238 HOUSE_OV

space become symbolic dynamics in sequence space. It was Kolmogoroff (1958) who first applied Shannon’s ideas of entropy and information (Shannon and Weaver, 1949; Khinchin, 1957) to the quantification of these dynamical system’s telegraphic messages as discrete, “stochastic” (random, probabilistic) outp

in a fictional postapocalyptic world of flora and fauna, in which AI-driven animals and creatures explore the landscape and interact with each other. Cheng uses advanced graphics but has them programmed with a lot of glitches and imperfections, which imparts a futuristic and anachronistic atmosphere at t

n particular, information must not be confused with meaning.”?! Linguists and poets might be concerned about the “semantic” aspects of communication, Weaver continued, but not engineers like Shannon. Rather, “this word ‘information’ in communication theory relates not so much to what you do say, as to wha

es.” Information cannot be conserved—so far, so good. But did Wiener really have Shannon’s “information” in mind? The crux of Shannon’s argument, as Weaver had emphasized, was to distinguish a colloquial sense of “information,” as message with meaning, from an abstracted, rarefied notion of strings of sy

in a fictional postapocalyptic world of flora and fauna, in which AI-driven animals and creatures explore the landscape and interact with each other. Cheng uses advanced graphics but has them programmed with a lot of glitches and imperfections, which imparts a futuristic and anachronistic atmosphere at t

n particular, information must not be confused with meaning.”?! Linguists and poets might be concerned about the “semantic” aspects of communication, Weaver continued, but not engineers like Shannon. Rather, “this word ‘information’ in communication theory relates not so much to what you do say, as to wha

es.” Information cannot be conserved—so far, so good. But did Wiener really have Shannon’s “information” in mind? The crux of Shannon’s argument, as Weaver had emphasized, was to distinguish a colloquial sense of “information,” as message with meaning, from an abstracted, rarefied notion of strings of sy