Conference Topics

The aim of the conference is to gather researchers from the field of information theory and complex systems.


The basic conference thematic fields are:

  1. COMPLEXITY:
    Philosophy of complexity; Complexity measures; Self-organization; Chaotic systems; Collective behavior.

  2. ENTROPY:
    Classical and quantum information theory; Information measures; Maximum entropy principle;
    Statistical mechanics; Thermodynamics.

  3. NONLINEAR DYNAMICS:
    Fractional calculus; Multi-scale dynamics; Nonlinear interactions; Nonlinear stochastic differential equations.

  4. COMPLEX NETWORKS:
    Structural properties; Simplicial complexies; Dynamics on and of complex networks;
    Real and computer generated complex networks.

  5. MACHINE LEARNING:
    Big data; Deep learning; Predictive modelling; Bayesian inference; Computational techniques.

The applications of aforementioned topics in social, financial, economical, biological and technological systems are also welcome.