STRUCTURAL THINKING - ORGANIZING COMPLEXITY THROUGH DISCIPLINED ACTIVITY

In today's world, large-scale systems are frequently involved in level s of complexity that have a serious and global impact on productivity. A context model is set forth that facilitates a new definition of com plexity, providing a background against which a science of complexity can be developed, and describing an empirical process from which the c omplexity of any particular situation can be quantified through a situ ation complexity index. In moving toward a science of complexity, the desirability of incorporating semiotics as a component of the science is indicated, because of the contributions semiotics makes to understa nding the foundations and ubiquity of modelling. In the development of models, as semiotics indicates, the connection between what is being modelled and the language of description in the model is critical. Str uctural analysis clarifies the inappropriateness of models comprised o nly of prose to convey a description of a complex situation. Illustrat ive examples from the practice of interactive management (a system of management that supports the development and interpretation of structu ral models of complex situations, and design of improved systems) show the significance of structural thinking as the primary intellectual m ode required to manage or cope with complexity. Group activity that wo uld otherwise be invalidated by spreadthink is converted into a powerf ul approach to in-depth learning about a complex situation, which then provides a well-supported foundation for an organized attack to bring a complex situation under control.