In this study, we present the highlights of complexity theory (Part I) and significant experimental verifications (Part II) and we try to give a synoptic description of complexity theory both at the microscopic and at the macroscopic level of the physical reality. Also, we propose that the self-organization observed macroscopically is a phenomenon that reveals the strong unifying character of the complex dynamics which includes thermodynamical and dynamical characteristics in all levels of the physical reality. From this point of view, macroscopical deterministic and stochastic processes are closely related to the microscopical chaos and self-organization. The scientific work of scientists such as Wilson, Nicolis, Prigogine, Hooft, Nottale,...
Complexity science concepts of emergence, self-organization, and feedback suggest that descriptions ...
This book presents the concepts needed to deal with self-organizing complex systems from a unifying ...
Born about three decades ago, Kolmogorov Complexity Theory (KC) led to important discoveries that, i...
Time series from chaotic and stochastic systems shape properties which can make it hard to distingui...
There is no single universally accepted definition of `Complexity'. There are several perspectives o...
The search for patterns in time series is a very common task when dealing with complex systems. This...
Complexity may be one of the most important measurements for analysing time series data; it covers o...
We construct a complexity measure from first principles, as an average over the ‘‘obstruction agains...
This dissertation addresses the delicate problem of establishing the statistical mechanical foundati...
This thesis is in a first place a compendium of different works addressing the emer¬gence of analogo...
This work is developed around Computational Complexity, very different from the Theory of Complexity...
A major challenge of interdisciplinary description of complex system behaviour is whether real syste...
Many complexity measures are defined as the size of a minimal representation in a specific model cla...
There is no single universally accepted definition of `Com- plexity'. There are several perspective...
In this chapter, we first discuss the main motivations that are causing an increasing interest of ma...
Complexity science concepts of emergence, self-organization, and feedback suggest that descriptions ...
This book presents the concepts needed to deal with self-organizing complex systems from a unifying ...
Born about three decades ago, Kolmogorov Complexity Theory (KC) led to important discoveries that, i...
Time series from chaotic and stochastic systems shape properties which can make it hard to distingui...
There is no single universally accepted definition of `Complexity'. There are several perspectives o...
The search for patterns in time series is a very common task when dealing with complex systems. This...
Complexity may be one of the most important measurements for analysing time series data; it covers o...
We construct a complexity measure from first principles, as an average over the ‘‘obstruction agains...
This dissertation addresses the delicate problem of establishing the statistical mechanical foundati...
This thesis is in a first place a compendium of different works addressing the emer¬gence of analogo...
This work is developed around Computational Complexity, very different from the Theory of Complexity...
A major challenge of interdisciplinary description of complex system behaviour is whether real syste...
Many complexity measures are defined as the size of a minimal representation in a specific model cla...
There is no single universally accepted definition of `Com- plexity'. There are several perspective...
In this chapter, we first discuss the main motivations that are causing an increasing interest of ma...
Complexity science concepts of emergence, self-organization, and feedback suggest that descriptions ...
This book presents the concepts needed to deal with self-organizing complex systems from a unifying ...
Born about three decades ago, Kolmogorov Complexity Theory (KC) led to important discoveries that, i...