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We argue that complex systems, defined as non-Poisson renewal process, with complexity index $\mu$, exchange information through complexity matching. We illustrate this property with detailed theoretical and numerical calculations…

统计力学 · 物理学 2007-05-23 Paolo Allegrini , Mauro Bologna , Paolo Grigolino , Mirko Lukovic

Inverse power law distributions are generally interpreted as a manifestation of complexity, and waiting time distributions with power index \mu < 2 reflect the occurrence of ergodicity breaking renewal events. In this Letter we show how to…

适应与自组织系统 · 物理学 2015-06-11 Marzieh Zare , Paolo Grigolini

We investigate the relationship between complexity, information transfer and the emergence of collective behaviors, such as synchronization and nontrivial collective behavior, in a network of globally coupled chaotic maps as a simple model…

混沌动力学 · 物理学 2010-10-26 M. Escalona-Morán , G. Paredes , M. G. Cosenza

The coupling complexity index is an information measure introduced within the framework of ordinal symbolic dynamics. This index is used to characterize the complexity of the relationship between dynamical system components. In this work,…

混沌动力学 · 物理学 2015-06-15 Roberto Monetti , José María Amigó , Thomas Aschenbrenner , Wolfram Bunk

A core feature of complex systems is that the interactions between elements in the present causally constrain each-other as the system evolves through time. To fully model all of these interactions (between elements, as well as ensembles of…

神经元与认知 · 定量生物学 2023-04-26 Thomas F. Varley

The constituents of a complex system exchange information to function properly. Their signalling dynamics often leads to the appearance of emergent phenomena, such as phase transitions and collective behaviors. While information exchange…

物理与社会 · 物理学 2020-11-18 Arsham Ghavasieh , Carlo Nicolini , Manlio De Domenico

Complex systems with global interactions tend to be stable if interactions between components are sufficiently homogeneous. In biological systems, which often have small copy numbers and interactions mediated by diffusing agents, noise and…

生物物理 · 物理学 2023-04-14 Fabrizio Olmeda , Steffen Rulands

Complex systems performing spiking dynamics are widespread in Nature. They cover from earthquakes, to neurons, variable stars, social networks, or stock markets. Understanding and characterizing their dynamics is relevant in order to detect…

数据分析、统计与概率 · 物理学 2017-12-14 Meritxell Colet , Andrés Aragoneses

We derive an analytical approximation to the probability distribution function (pdf) for the response of Mathieu's equation under parametric excitation by a random process with a spectrum peaked at the main resonant frequency, motivated by…

动力系统 · 数学 2017-06-05 Mustafa A. Mohamad , Themistoklis P. Sapsis

The crucial aspect of this demonstration is the discovery of renewal events, hidden in the computed dynamics of a multifractal metronome, which enables the replacement of the phenomenon of strong anticipation with a time delayed…

适应与自组织系统 · 物理学 2017-07-20 Korosh Mahmoodi , Bruce J. West , Paolo Grigolini

We consider a $N$-particle interacting particle system with the vision geometrical constraints and reflected noises, proposed as a model for collective behavior of individuals. We rigorously derive a continuity-type of mean-field equation…

偏微分方程分析 · 数学 2017-05-12 Young-Pil Choi , Samir Salem

We investigate the dynamics of a non-interacting spin system, undergoing coherent Rabi oscillations, in the presence of stochastic resetting. We show that resetting generally induces long-range quantum and classical correlations both in the…

量子物理 · 物理学 2022-11-30 Matteo Magoni , Federico Carollo , Gabriele Perfetto , Igor Lesanovsky

We define Persistent Mutual Information (PMI) as the Mutual (Shannon) Information between the past history of a system and its evolution significantly later in the future. This quantifies how much past observations enable long term…

适应与自组织系统 · 物理学 2015-03-13 R. C. Ball , M. Diakonova , R. S. MacKay

The mechanism of collectivity coexisting with chaos in a finite system of strongly interacting fermions is investigated. The complex spectra are represented in the basis of two-particle two-hole states describing the nuclear double-charge…

chao-dyn · 物理学 2009-10-30 S. Drozdz , S. Nishizaki , J. Speth , M. Wojcik

Biological systems (among others) may respond to a large variety of distinct external stimuli, or signals. These perturbations will generally be presented to the system not singly, but in various combinations, so that a proper understanding…

定量方法 · 定量生物学 2011-06-24 Dennis Wylie

We study the transport of information between two complex networks with similar properties. Both networks generate non-Poisson renewal fluctuations with a power-law spectrum 1/f^(3-\mu), the case \mu= 2 corresponding to ideal 1/f-noise. We…

统计力学 · 物理学 2015-06-03 Gerardo Aquino , Mauro Bologna , Paolo Grigolini , Bruce J. West

Cells sense environmental signals and transmit information intracellularly through changes in the abundance of molecular components. Such molecular abundances can be measured in single cells and exhibit significant heterogeneity in clonal…

定量方法 · 定量生物学 2024-09-27 Raymond Fan , Andreas Hilfinger

We observe the propagation of information in a system of self-replicating strings of code (``Artificial Life'') as a function of fitness and mutation rate. Comparison with theoretical predictions based on the reaction-diffusion equation…

adap-org · 物理学 2008-02-03 Johan Chu , Chris Adami

In this chapter we present a new approach to the study of manifestations of chaos in real complex system. Recently we have achieved the following result. In real complex systems the informational measure of chaotic chatacter (IMC) can serve…

医学物理 · 物理学 2016-08-16 Renat M. Yulmetyev , Sergey A. Demin , Peter Hänggi

We address ourselves to a class of systems composed of two coupled subsystems without any intra-subsystem interaction: itinerant Fermions and localized Bosons on a lattice. Switching on an interaction between the two subsystems leads to…

超导电性 · 物理学 2009-10-31 T. Domanski , J. Ranninger
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