Aims and scope

Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization.

The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.

Key topics of focus include:

  • Complexity
    - Complex evolutionary and adaptive Systems
    - Emergent properties and behavior in complex Systems
    - Self-organizing collective systems
    - Biological and social inspirations in problem solving
    - Systems Science and Engineering
  • Intelligent Data Analytics
    - Data mining and knowledge discovery
    - Machine learning
    - Pattern recognition
    - Big Data Analytics and data science
    - Data-driven problem solving
  • Computational Simulation
    - Knowledge-based Systems
    - Agent based Systems
    - Uncertainty modeling
    - Decision support Systems
    - Brain-like computing
    - Ubiquitous computing
    - Computational visualization and interaction