Selected Topics on Complex Systems Informatics: Editorial Introduction to Issue 23 of CSIMQ

Kurt Sandkuhl, University of Rostock, Chair Business Information Systems, Albert-Einstein-Str. 22, 18059 Rostock, Germany
2020 Complex Systems Informatics and Modeling Quarterly  
Complex systems and their analysis, construction, management or application are the motivation of all articles in this issue of CSIMQ. Different perspectives exist on what actually causes "complexity" in systems. In systems theory, a widely spread view is that complex systems have many components with emergent behavior [1], [2], i.e. the large number and the dynamics of components are decisive. In business informatics, the complexity of information systems is attributed to their socio-technical
more » ... nature [3] , which acknowledges the interaction between the human actors and the information technology in an enterprise, i.e. the human is part of the system and affects the complexity. Modeling is an important contribution to dealing with complexity in design and development projects. Complex systems are difficult to model due to the dependencies, relationships and different kinds of interactions between their components. Understanding the context of complex systems or their components is supported by modeling and is a key aspect of preparing organizational solutions. Models do not remove the complexity of the real world but help to understand it and to design and develop solutions. All articles in this issue are in some respect concerned with models or modeling. The articles in this issue also reflect recent trends in industry and society, such as digital transformation [4] and applications of artificial intelligence [5] , and show that these trends will not necessarily reduce complexity in systems but rather require the combination of proven approaches, such as modeling, and new methods for managing this complexity. The following articles were accepted by the reviewers:
doi:10.7250/csimq.2020-23.00 fatcat:wqtxqxtyh5a3bgdixnqprxgsbm