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N°Spécial De Revue/Special Issue Physica D: Nonlinear Phenomena Année : 2022

special issue : Discrete Models of Complex Systems: recent trends and analytical challenges

Résumé

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 a complex system is that it is composed of a discrete number of interacting entities and that it exhibits 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, interacting particle systems, agent-based models, or complex networks. While the state space is discrete in these models, space and time can be discrete or continuous. Such models can be seen as simple digital laboratories to study phenomena exhibited by complex systems like self-organization, pattern formation, collective migration, cooperation, adaptation, competition, or multi-scale phenomena. This special issue presents up-to-date applications of discrete complex systems models and new methods for the multi-scale analysis of their dynamics. The issue covers both theoretical and applied research. The aim is to focus on discrete modeling and analysis methodologies, and on challenges of their application to particular examples of complex systems.
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Dates et versions

hal-03948403 , version 1 (20-01-2023)

Identifiants

  • HAL Id : hal-03948403 , version 1

Citer

Nazim A. Fatès, Andreas Deutsch, Danuta Makowiec. special issue : Discrete Models of Complex Systems: recent trends and analytical challenges. Physica D: Nonlinear Phenomena, 436, 2022. ⟨hal-03948403⟩
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