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Three Generations of Complexity Theories: Nuances and Ambiguities

Abstract

The contemporary use of the term ‘complexity’ frequently indicates that it is considered a unified concept. This may lead to a neglect of the range of different theories that deal with the implications related to the notion of complexity. This paper, integrating both the English and the Latin traditions of research associated with this notion, suggests a more nuanced use of the term, thereby avoiding simplification of the concept to some of its dominant expressions only. The paper further explores the etymology of ‘complexity’ and offers a chronological presentation of three generations of theories that have shaped its uses; the epistemic and socio-cultural roots of these theories are also introduced. From an epistemological point of view, this reflection sheds light on the competing interpretations underlying the definition of what is considered as complex. Also, from an anthropological perspective it considers both the emancipatory as well as the alienating dimensions of complexity. Based on the highlighted ambiguities, the paper suggests in conclusion that contributions grounded in contemporary theories related to complexity, as well as critical appraisals of their epistemological and ethical legitimacy, need to follow the recursive feedback loops and dynamics that they constitute. In doing so, researchers and practitioners in education should consider their own practice as a learning process that does not require the reduction of the antagonisms and the complementarities that shape its own complexity.

Key takeaways

  • The terms 'complex' and 'complexity' are usually .used as the opposite of simplicity.
  • From the 1940s until today, three generations of theories have emerged, suggesting a progressive shift from the study of 'organised complexity' to issues related to 'organising complexity' (Le Moigne, 1996), and thus reintroducing the fundamental uncertainties of the researcher as envisaged by Bachelard.
  • The perspectives opened by this research helped to reinforce an understanding grounded in a quantitative evaluation of complexity that considered, for example, the length of the account that must be given to provide an adequate description of a system (descriptive complexity), the length of the set of instructions that must be given to provide a recipe for producing it (generative complexity), or the amount of time and effort involved in resolving a problem (computational complexity) (Rescher, 1998).
  • During the 1980s, complexity research followed two different paths.
  • Between 1945 and 1975, the status and epistemological legitimacy of sciences constituted within the paradigm of organised complexity was rarely investigated and the term 'complexity' seldom used (Le Moigne, 1996).