Unravelling the structure of genotype-phenotype (GP) maps is an important problem in biology. Recently, arguments inspired by algorithmic information theory (AIT) and Kolmogorov complexity have been invoked to uncover simplicity bias in GP maps, an exponentially decaying upper bound in phenotype probability with the increasing phenotype description...
Ce manuscrit d’HDR présente des résultats récents de Théorie de l’Information qui apportent un éclairage nouveau sur des problèmes de Théorie des Jeux, tels que la coordination des actions des joueurs ou le traitement de l’information stratégique. Bien que la Théorie de l’Information et la Théorie des Jeux aient des champs d’application distincts, ...
The main goal of that paper is to show that the Syracuse Conjecture (also called Collatz Conjecture) is true. And we illustrate the tests in JAVA PROGRAMMING with the IDE named IntelliJ IDEA Community.
Published in Review of Artistic Education
The reported research refers to the implications of Information Theory, Information and Communication Technologies and Applied Ontologies, in the educational process, in general, with specific attention to artistic education. We emphasize the major role of the informational methods for knowledge organisation, calling on such concepts as shared use ...
In modern statistical and data science applications, the probability distribution generating the data in question is unknown (or even absent) and decisions must be taken in a purely data-driven manner. Thus motivated, in this dissertation the information-theoretic approach of universal probability is revisited and expanded upon. This approach gives...
Dans cette thèse nous nous intéressons à l’étude et à la modélisation du phénomène de complexité émergent des séries financières selon des échelles temporelles et spatiales différentes. Nous proposons une méthode statistique pour mesurer le niveau de complexité d’une série financière quelconque sans aucun a priori sur le caractère déterministe ou a...
The apparent dichotomy between information-processing and dynamical approaches to complexity science forces researchers to choose between two diverging sets of tools and explanations, creating conflict and often hindering scientific progress. Nonetheless, given the shared theoretical goals between both approaches, it is reasonable to conjecture the...
Published in The Korean journal of pain
Non-invasive painless signaling therapy (NPST) is an electro-cutaneous treatment that converts endogenous pain information into synthetic non-pain information. This study explored whether pain improvement by NPST in failed back surgery syndrome (FBSS) patients is related to cerebral modulation. Electroencephalography (EEG) analysis was performed in...
Statistical methods protecting sensitive information or the identity of the data owner have become critical to ensure privacy of individuals as well as of organizations. This paper investigates anonymization methods based on representation learning and deep neural networks, and motivated by novel informationtheoretical bounds. We introduce a novel ...
