Editorial Introduction to Issue 40 of CSIMQ: Managing Different Forms of Complexity

The systems considered in the presented research can be characterized as dynamically complex open systems, which means that “the system’s coherence lies not only within the system itself but also in its relationship with the environment”. We can observe four forms of complexity: dynamic, architectural, relational, and generative. There is no doubt that modern complex systems combine these forms. By analyzing different datasets, the researchers deal with relational and dynamic complexity. If analysis is focused on organizing architectural principles, then we may talk about architectural and relational complexity. Trying to solve problems of uncertainty in processes, we face dynamic, architectural, and relational complexity. The adaptivity of systems tells us about their generative complexity. This journal issue is devoted to managing the architectural, dynamic, and relational complexity of the considered systems.

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Publication Details

Journal
Complex Systems Informatics and Modeling Quarterly
Published
2024-10-31
DOI
https://doi.org/10.7250/csimq.2024-40.00
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00
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article

Editorial Introduction to Issue 40 of CSIMQ: Managing Different Forms of Complexity

Małgorzata Pańkowska, Ērika Nazaruka
Complex Systems Informatics and Modeling Quarterly
Complex Systems and Decision Making
article

Editorial Introduction to Issue 40 of CSIMQ: Managing Different Forms of Complexity

Małgorzata Pańkowska, Ērika Nazaruka
article en

Abstract

The systems considered in the presented research can be characterized as dynamically complex open systems, which means that “the system’s coherence lies not only within the system itself but also in its relationship with the environment”. We can observe four forms of complexity: dynamic, architectural, relational, and generative. There is no doubt that modern complex systems combine these forms. By analyzing different datasets, the researchers deal with relational and dynamic complexity. If analysis is focused on organizing architectural principles, then we may talk about architectural and relational complexity. Trying to solve problems of uncertainty in processes, we face dynamic, architectural, and relational complexity. The adaptivity of systems tells us about their generative complexity. This journal issue is devoted to managing the architectural, dynamic, and relational complexity of the considered systems.

Complex Systems Informatics and Modeling Quarterly(40)
University of Economics in Katowice (PL), Riga Technical University (LV)
Openalex Percentile: Top 76%
Complex Systems and Decision Making
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