• Manfred Euler
This review presents a sequence of exemplary experience-based encounters with self-organizing systems on different levels of difficulty. Based on hands-on experiments and creative modeling it provides a viable educational road to build up a deeper understanding of self-organization principles and their comprehensive nature. Theories of self-organization describe how patterns, structures and new types of behavior emerge in energetically open systems, resulting from the local interaction of many components. As an external control instance is missing, the underlying philosophy is counterintuitive to our habits of causal thinking. This thematic and conceptual framework impacts on many STEM domains and presents a blueprint for modeling emergent structures and complex functions in natural and technological systems. It reveals unifying principles that can help in reducing, in structuring and, finally, in understanding and controlling the emerging complexity. An overview across diverse STEM domains highlights the role of this overarching concept. This cross-disciplinary approach can help in improving the dialogue and the knowledge exchange between the individual fields. Moreover, in a self-referential fashion, the modeling of self-organization provides us with fresh perspectives to reflect our own creative processes.
Original languageEnglish
JournalProceedings of the Singapore National Academy of Science
Volume15
Issue number2
Pages (from-to)135-150
ISSN2591-7226
DOIs
Publication statusPublished - 09.2021

ID: 1676724