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

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.

Keywords

• complex systems
• dsr artifact
• ssm
• llms
• machine learning
• enterprise architecture
• healthcare analytics
• knowledge management
• context-aware systems
• casad matrix