The amorphous matter can self-organize into complex forms without external influence. In biology, the diversity of forms and their function raises the question of whether morphogenesis follows a similar self-organization process or results from the interaction between a morphogenetic field and biostructure.

We explore: 

– Self-organization and pattern formation
– Natural object geometry and properties
– Electromagnetic fields of fractal structures and their effects on living matter
– Bio-mimetic engineering, applying natural form-function studies to new technologies

Describing Earth as a living planet highlights its complex, hierarchical system of interrelated subsystems that exchange energy, matter, and information, maintaining a state of dynamic stability (Geostasis).

This perspective on the life-environment relationship and the balance between negentropic and entropic processes calls for:
– A specialised methodology
– A rethinking of investigative tools
– A reassessment of empirical observations and philosophical insights on life in context

While computers can increasingly model cognitive processes, a fundamental distinction may still separate living intelligence from artificial systems.

The brain is often viewed as a complex biochemical machine that processes sensory information to interpret reality, yet its role may extend beyond that. Understanding what sets human cognition apart remains a key question in the study of intelligence.

We focus on:

– The complexity of mental processes and how they can be replicated using artificial neural architectures
– Chaotic phenomena and nonlinear dynamics
– Stochastic resonance
– Physiological signals and how they can be measured and analysed to develop new biomedical applications

The study of nonlinear phenomena has led to a coherent set of concepts, theories, and models applicable to the analysis of complex systems. These open systems evolve far from thermodynamic equilibrium and are characterized by a hierarchical structure, exhibiting distinct behaviours at different organizational levels.

Studying the linear vs. nonlinear and complicated vs. complex relationship requires:

– Adapting experimental setups to the characteristics of complex systems.
– Modifying measurement and control instruments accordingly.
– Refining experimental protocols to capture essential system dynamics.
– Developing new methods to objectively assess system evolution in context.

The research aims to prototype new automatic and semi-automatic prediction algorithms and methodologies. As an initial focus, the team analyzes a significant dataset of sales information from the Romanian economy to enhance sales forecasting accuracy.

The study integrates classical predictive models (linear regressions, data mining, Bayesian networks, multidimensional correlation analysis) with complexity science approaches (fractal geometry, chaos theory, agent-based models, genetic algorithms, constructal theory).

Assessing the seismic risk of an area is a major objective of modern geophysical research. Studies aimed at understanding the mechanisms of stress accumulation in seismically active zones — and therefore responsible for the occurrence of earthquakes — have been reinvigorated by the emergence of a body of theories and models known as “Complexity science”. Thus, following the discovery of fractal geometry, chaos theory and catastrophe theory, seismic events have been reinterpreted as typical examples of the dynamics of nonlinear systems. READ MORE

The development of data-processing techniques derived from the studies and theories provided by Complexity science in general — and by the theory of deterministic chaos, of dissipative systems and catastrophe theory in particular — has enabled the construction of intelligent systems for extracting information from heterogeneous databases (data mining and neural networks). READ MORE

Empirical studies and scientific modelling based on the nonlinear approach to bio-geophysical processes have revealed remarkable properties of the structures obtained by fragmentation [1, 2], a noteworthy one being the scale-invariance property (fractal structure) of the distribution of the rock fragments and microfragments obtained (from the scale of asteroids to that of the microgranules in soil). READ MORE

The emergence of a new ontological context, based on the triad Information, Energy, Matter — formulated explicitly by Victor Săhleanu, “Eseu de Biologie Informațională” [1973], Mihai Drăgănescu, “Inelul lumii materiale” [1974], “Ortofizica* [1975], and also by Paul Constantinescu, *Sinergetica, Teoria generală a sistemelor ierarhizate* [1990] — has allowed a re-evaluation of certain techniques for determining the biological quality of foodstuffs developed in the period 1925–1940, such as the so-called controlled crystallization. READ MORE

Modelling tree-like structures through recursive techniques (fractal models, IFS) has enabled an approach, beyond statistics, to the structure of trees and, in general, of the entire plant kingdom. Likewise, the use of appropriate computational techniques has enabled the dynamic study of these tree-like structures, as well as of their coupling with the soil. READ MORE

Under the name Gaia – the Living Planet, a series of scientific works has taken shape since 1965, highlighting the coupling between the processes and phenomena specific to the inorganic world (framework, substrate) and those of the Living world, characterized by the capacity for negentropic evolution, far from thermodynamic equilibrium, generating order. This integrative vision of the dynamics and evolution of planet Earth — seen as a bioreactor capable of giving rise to and sustaining living systems in a durable manner — was favoured by the emergence of new models and theories, by the capacity for computational modelling and by the development of the theory of Information and Cognition, beyond Shannonian theory. READ MORE

The problems related to the study of cardiac dynamics from the perspective of Complexity science have highlighted the importance of conceptual reformulation and of complementing the investigation techniques for assessing the “health status” of the cardiovascular system from the perspective of nonlinear physics. The conventional approach to natural processes and phenomena — an approach that is in principle linear — allowed the application of the superposition principle, of the reductionist methodology that involves fragmenting the human organism into organs and treating them formally through the theory of dynamical systems and statistical mathematics. READ MORE

The relationship between Creativity and the structure of language; the mother tongue as a process that particularizes a universal spiritual-phenomenological dimension.

Within this programme, the aims are:

– developing techniques and technologies for evaluating texts with a view to identifying semantic coherence and cultural/informative value;

– inter- and transdisciplinary studies on highlighting the “structure” of natural language (in comparison with artificial languages) and identifying cognitive and epistemic characteristics correlatable with the structure of language (with particular application to Romanian);

– comparative studies on the particularities of creativity and of the capacity for optimally approaching certain subjects as a function of the structure of a language; differences between natural languages and artificial languages. READ MORE