Motivation: Textual data compression, and the associated techniques coming from
information theory, are often perceived as being of interest for data communication and …

While the equilibrium properties, states, and phase transitions of interacting systems are well
described by statistical mechanics, the lack of suitable state parameters has hindered the …

In this paper, we establish a clear distinction between two processes yielding anomalous
diffusion and 1/f noise. The first process is called Stationary Fractional Brownian Motion …

We consider the dynamical behavior of Martin-Löf random points in dynamical systems over
metric spaces with a computable dynamics and a computable invariant measure. We use …

In a recent review [R. Giancarlo, D. Scaturro, F. Utro, Textual data compression in
computational biology: a synopsis, Bioinformatics 25 (2009) 1575–1586] the first systematic …

During a spontaneous change, a macroscopic physical system will evolve towards a macro-
state with more realizations. This observation is at the basis of the statistical mechanical …

Authorship attribution is a fascinating field at the crossroad between linguistics and
information science. Its relevance goes much beyond the specific predictions that different …

Algorithmic probability is a seminal concept in the theory of algorithmic information. The
concept of algorithmic information dynamics or simply algorithmic dynamics was introduced …

Computer simulated trajectories of bulk water molecules form complex spatiotemporal
structures at the picosecond time scale. This intrinsic complexity, which underlies the …

The large deviation properties of the Lempel-Ziv complexity are studied using a one-
dimensional non-hyperbolic chaos map called the “modified Bernoulli map”, where the …