Socio-Inspired Design Approaches for Self-Adaptive and Self-Organizing Collaborative Systems

This paper addresses the challenges involved with the engineering of self-adaptive and self-organizing collaborative socio-technical systems. By examining the inherently interdisciplinary nature of the problem and giving a brief insight into some exemplary applications, we argue that particularly the inclusion of sociological findings already at structural and algorithmic level is fundamental to the efficiency, operation, and generally a more meaningful design of such systems. Perspectives and limitations are discussed, especially regarding steady user behavior feedback loops.