Modeling of Self-Organizing Systems: An Overview

2015/11/03 by Richard Holzer, Holzer, Richard, Patrick Wüchner +3
Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Gene Regulatory Network Analysis #Nonlinear Dynamics and Pattern Formation #Simulation Techniques and Applications

paper · doi:10.14279/tuj.eceasst.27.385

openalex publication_date 2024/04/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/01

Abstract

This paper gives a systematic overview on modeling formalisms suitable for modeling self-organizing systems. We distinguish between micro-level modeling and macro-level modeling. On the micro level, the behavior of each entity and the interaction between different object must be described by the model. Macrolevel modeling abstracts from the individual entities and only looks at the behavior of the system variables of interest. The differentiations between discrete and continuous time and between discrete and continuous state space lead to different descriptions of the model.

Citations

• Introduction to Discrete Event Systems

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