Solstice 2023
Summer Solstice Conference on Discrete Models of Complex Systems 2023
International Conference on Discrete Models of Complex Systems
12-14 April 2023
Complex systems are ubiquitous. Examples include financial markets, highway transportation and telecommunication networks, human economies, musical improvisation, social networks, and biological systems as development and morphogenesis, the immune system, cancer, and ecology. The key feature of a complex system is that it is composed of a large number of interacting entities exhibiting new emerging properties on a higher scale compared to the properties and behaviours of its individual entities.
Complex systems are studied in the social sciences, engineering,, music, physics, biology, and mathematics. The integral part of these interdisciplinary studies forms discrete modelling in terms of cellular automata, lattice-gas cellular automata, agent-based models, or complex networks. These models can be seen as the simplest digital laboratories to study phenomena exhibited by complex systems like self-organisation, pattern formation, cooperation, adaptation, competition, or multi-scale phenomena.
The aim of this conference is to bring together researchers from around the world working on the discrete modelling of complex systems and analysis of their dynamics. The conference provides a forum for an exchange of ideas and results of current research, and the discussion of potential future directions and developments. The conference will cover both theoretical and applied research. It will focus on discrete modeling methodologies and their applications to different scales of complex systems dynamics.
The conference has been established in 2009 by a group of researchers interested in a small meeting where to exchange ideas about complex systems, and SOLSTICE has been running since then in a very friendly atmosphere.
The conference may be attended in presence or online.
Selected papers will be submitted to Computation - Special Issue Solstice2023—International Conference on Discrete Models of Complex Systems