![]() ![]() ![]() Complicity: An International Journal of Complexity and Education, 7(1), 39–42.Ĭilliers, P. The value of complexity: A response to Elizabeth Mowat and Brent Davis. Gershenson (Ed.), Complexity: 5 questions (pp. Emergence: Complexity and Organization, 8(3), 105–112.Ĭilliers, P. Stability, memory and hysteresis in complex systems. International Journal of Innovation Management, 5(2), 135–147. Boundaries, hierarchies and networks in complex systems. Davies (Eds.), The re-emergence of emergence (pp. London & New York: Routledge.Ĭhalmers, D. Complexity theory and the social sciences: The state of the art. Emergence: Contemporary readings in philosophy and science. O’Connor (Eds.), Emergence in science and philosophy (pp. Weak emergence and context-sensitive reduction. Principia: An International Journal of Epistemology, 6(1), 5–50. Downward causation and the autonomy of weak emergence. It is the task of the remaining chapters of the book to demonstrate the power of complexity thinking to deepen and expand our understanding of these pressing issues.īedau, M. Rather its aim is to present a coherent version of complexity thinking, one that suggests novel and fertile understandings of the unresolved issues identified in previous chapters. ![]() Though complexity thinking remains a contested field of inquiry, this chapter does not attempt to resolve ongoing disputes within complexity thinking itself. This chapter also identifies and discusses three kinds of emergence, concluding that it is weak emergence that is vitally important for the human and social sciences. Whilst restricted complexity has proven to have wide applicability within mathematics and the natural sciences, we argue that it is general complexity that is more relevant to major portions of the human and social sciences. Crucially, the chapter distinguishes between restricted complexity and general complexity. The concept of complexity and its accompanying cluster of key ideas, such as reduction, nonlinear relations and emergence, is outlined and discussed. This chapter introduces fundamental aspects of what is popularly called complexity theory, though, for reasons explained in the chapter, we prefer the term complexity thinking. ![]()
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