Special Issue on Discrete Models of Complex Systems: recent trends and analytical challenges
• 大类 : 物理 - 3区
• 小类 : 应用数学 - 2区
• 小类 : 物理：数学物理 - 3区
• 小类 : 物理：综合 - 3区
Complex systems are ubiquitous. Examples include financial markets and human economies, highway transportation and telecommunication networks, musical improvisation, social networks, and biological systems as development and morphogenesis, the immune system, cancer, and ecology. The key feature of any complex system is that it is composed of a discrete number of interacting entities exhibiting new emerging properties on a larger scale compared to the properties and behaviors of its individual entities at the smaller scale.
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 simple digital laboratories to study phenomena exhibited by complex systems like self-organization, pattern formation, cooperation, adaptation, competition, or multi-scale phenomena.
The aim of this special issue is to collect innovative mathematical models and simulation tools which push forward our understanding of the organization principles of complex systems and analysis of their dynamics. Papers studying complex phenomena by cellular automata, artificial neural networks or in multi-agent systems, both theoretical and applied, are especially welcome. A focus on discrete modeling methodologies and their applications to different scales of complex systems dynamics will be favoured.