Complexity Theory

摘要


 
 
 Complex systems are an invention of the universe. It is not at all clear that science has an a priori primacy claim to the study of complex systems. (Galanter 5) Introduction In popular dialogues, describing a system as “complex” is often the point of resignation, inferring that the system cannot be sufficiently described, predicted nor managed. Transport networks, management infrastructure and supply chain logistics are all often described in this way. In socio-cultural terms “complex” is used to describe those humanistic systems that are “intricate, involved, complicated, dynamic, multi-dimensional, interconnected systems [such as] transnational citizenship, communities, identities, multiple belongings, overlapping geographies and competing histories” (Cahir & James). Academic dialogues have begun to explore the collective behaviors of complex systems to define a complex system specifically as an adaptive one; i.e. a system that demonstrates ‘self organising’ principles and ‘emergent’ properties. Based upon the key principles of interaction and emergence in relation to adaptive and self organising systems in cultural artifacts and processes, this paper will argue that complex systems are cultural systems. By introducing generic principles of complex systems, and looking at the exploration of such principles in art, design and media research, this paper argues that a science of cultural systems as part of complex systems theory is the post modern science for the digital age. Furthermore, that such a science was predicated by post structuralism and has been manifest in art, design and media practice since the late 1960s. Complex Systems Theory Complexity theory grew out of systems theory, an holistic approach to analysis that views whole systems based upon the links and interactions between the component parts and their relationship to each other and the environment within they exists. This stands in stark contrast to conventional science which is based upon Descartes’s reductionism, where the aim is to analyse systems by reducing something to its component parts (Wilson 3). As systems thinking is concerned with relationships more than elements, it proposes that in complex systems, small catalysts can cause large changes and that a change in one area of a system can adversely affect another area of the system. As is apparent, systems theory is a way of thinking rather than a specific set of rules, and similarly there is no single unified Theory of Complexity, but several different theories have arisen from the natural sciences, mathematics and computing. As such, the study of complex systems is very interdisciplinary and encompasses more than one theoretical framework. Whilst key ideas of complexity theory developed through artificial intelligence and robotics research, other important contributions came from thermodynamics, biology, sociology, physics, economics and law. In her volume for the Elsevier Advanced Management Series, “Complex Systems and Evolutionary Perspectives on Organisations”, Eve Mitleton-Kelly describes a comprehensive overview of this evolution as five main areas of research: complex adaptive systems dissipative structures autopoiesis (non-equilibrium) social systems chaos theory path dependence Here, Mitleton-Kelly points out that relatively little work has been done on developing a specific theory of complex social systems, despite much interest in complexity and its application to management (Mitleton-Kelly 4). To this end, she goes on to define the term “complex evolving system” as more appropriate to the field than ‘complex adaptive system’ and suggests that the term “complex behaviour” is thus more useful in social contexts (Mitleton-Kelly). For our purpose here, “complex systems” will be the general term used to describe those systems that are diverse and made up of multiple interdependent elements, that are often ‘adaptive’, in that they have the capacity to change and lear