From Frances Heylighen
Tomas, Olaf and I, supported by Daniela Flores, will be editing a special issue of the open-access journal “Entropy” (impact factor 2.5) on the subject of “Complexity and Evolution”. We invite everyone to submit a paper. The full Call for Papers with instructions for authors is here:
The understanding of evolutionary processes is one the most important issues of scientific enquiry of this century. Scientific thinking in twentieth century witnessed the overwhelming power of the evolutionary paradigm. It not only solidified the foundations of diverse areas such as cell biology, ecology, and economics, but also fostered the development of several mathematical and computational tools to model and simulate how evolutionary processes take place.
Besides the application of the evolutionary paradigm and the discovery of the evolutionary features for diverse processes, there is another interesting aspect which touches upon the emergence of novel evolutionary processes. Generally, the emergence of an evolutionary process requires a complex transition between a prior form where no evolutionary process is undergoing and a posterior form where the evolutionary process has been triggered. Most advanced methods to understand the emergence of evolutionary processes require the consideration of systemic features such as self-organization, resilience, and contextuality, among others.
In order to address the multiple facets of evolution, it is necessary to propose and apply methods that on the one hand incorporate recent advances in the modeling of complex systems, and on the other hand leverage both the increasing modeling power as well as growth and integration of databases associated with evolutionary processes. We welcome interdisciplinary articles that aim to advance our understanding of the role played by complexity in the evolution of natural and artificial processes. We welcome articles related to any of these topics:
Evolutionary processes of artificial systems;
The emergence of evolutionary processes;
Novel methods to study the structural properties of evolutionary processes.
Prof. Dr. Francis Heylighen
Dr. Tomas Veloz
Dr. Olaf Witkowski
Ms. Daniela Flores