Sociocybernetics: Complexity, Autopoiesis, and Observation of Social Systems

In an effort to shed light on recent developments in sociocybernetic research, this volume represents recent and advanced thinking in this rapidly developing field. The authors address the core problems in social science caused by increasing societal complexity and analyze the inadequacy of many of the methodological tools still used for grappling with nonlinear, self-organizing systems. The 18 contributors propose elements of a new methodology based on sociocybernetic principles aimed at describing and explaining the growth of societal complexity, the contribution of autopoiesis of societal subunits to more societal complexity, and the new simulation-based methodology needed to observe complex social systems. This unique volume contributes to a greater understanding of sociocybernetics and its uses as a method for researching modern problems of increasing complexity and interdependence.