Abstract
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. The concept of complexity and its accompanying cluster of key ideas, such as reduction, nonlinear relations and emergence, is outlined and discussed. Crucially, the chapter distinguishes between restricted complexity and general complexity. 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. 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. Though complexity thinking remains a contested field of inquiry, this chapter does not attempt to resolve ongoing disputes within complexity thinking itself. 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. 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.
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References
Bedau, M. A. (2002). Downward causation and the autonomy of weak emergence. Principia: An International Journal of Epistemology, 6(1), 5–50. https://periodicos.ufsc.br/index.php/principia/article/view/17003/15556. Accessed November 23, 2016.
Bedau, M. A. (2010). Weak emergence and context-sensitive reduction. In A. Corradini & T. O’Connor (Eds.), Emergence in science and philosophy (pp. 46–63). London & New York: Routledge.
Bedau, M. A., & Humphries, P. (Eds.). (2008). Emergence: Contemporary readings in philosophy and science. Cambridge, MA: MIT Press.
Byrne, D. (2005). Complexity, configuration and cases. Theory, Culture and Society, 22(5), 95–111. https://doi.org/10.1177/0263276405057194.
Byrne, D., & Callaghan, G. (2014). Complexity theory and the social sciences: The state of the art. London & New York: Routledge.
Chalmers, D. (2006). Strong and weak emergence. In P. Clayton & P. Davies (Eds.), The re-emergence of emergence (pp. 1–13). Ox-ford: Oxford University Press. http://consc.net/papers/emergence.pdf. Accessed November 23, 2016.
Cilliers, P. (1998). Complexity and postmodernism. London: Routledge.
Cilliers, P. (2000). Rules and complex systems. Emergence, 2(3), 40–50.
Cilliers, P. (2001). Boundaries, hierarchies and networks in complex systems. International Journal of Innovation Management, 5(2), 135–147. https://doi.org/10.1016/s1363-9196(01)00031-2.
Cilliers, P. (2006). On the importance of a certain slowness. Stability, memory and hysteresis in complex systems. Emergence: Complexity and Organization, 8(3), 105–112.
Cilliers, P. (2008). Responses. In C. Gershenson (Ed.), Complexity: 5 questions (pp. 27–32). Copenhagen: Automatic Press.
Cilliers, P. (2010). The value of complexity: A response to Elizabeth Mowat and Brent Davis. Complicity: An International Journal of Complexity and Education, 7(1), 39–42.
Cilliers, P. (2013). A crisis of knowledge: Complexity, understanding and the problem of responsible action. In P. Derkx & H. Kunneman (Eds.), Genomics and democracy: Towards a ‘lingua democratica’ for the public debate on genomics (pp. 37–59). Amsterdam, New York: Rodopi.
Deacon, T. W. (2007). Three levels of emergent phenomena. In N. Murphy & W. R. Stoeger (Eds.), Evolution and emergence: Systems, organisms, persons (pp. 88–110). Oxford: Oxford Universi-ty Press.
Dewey, J. (1910). How we think (pp. 56–67). Lexington, Mass: D.C. Heath.
Dewey, J., & Bentley, A. (1989). Knowing and the known. In J. A. Boydston (Ed.), John Dewey: The later works: 1949–1952 (Vol. 16, pp. 2–294). Carbondale: Southern Illinois Press (Original work published 1949).
Emirbayer, M. (1997). Manifesto for a relational sociology. American Journal of Sociology, 103(2), 281–317. https://doi.org/10.1086/231209.
Garrison, J. (2001). An introduction to Dewey’s theory of functional “trans-action”: An alternative paradigm for activity theory. Mind, Culture and Activity, 8(4), 275–296. https://doi.org/10.1207/S15327884MCA0804_02.
Garrison, J. W., & Watson, B. W. (2005). Food from thought. The Journal of Speculative Philosophy, New Series, 19(4), 242–256. https://doi.org/10.1353/jsp.2006.0006.
Goldstein, J. (1999). Emergence as a construct: History and issues. Emergence, 1(1), 49–72. https://doi.org/10.1207/s15327000em0101_4.
Hager, P. (1996). Relational realism and professional performance. Educational Philosophy and Theory, 28(1), 98–116. https://doi.org/10.1111/j.1469-5812.1996.tb00234.x.
James, W. (1950). The principles of psychology. New York: Dover Publications (Original work published 1890).
Lancaster, J. (2012). The complex systems of practice. In P. Hager, A. Lee, & A. Reich (Eds.), Practice, learning and change: Practice theory perspectives on professional learning (pp. 119–131). Dordrecht: Springer.
Lancaster, J. (2013). Complexity and relations. Educational Philosophy and Theory, 45(12), 1264–1275. https://doi.org/10.1080/00131857.2013.763595.
Lewis, M. (2000). The promise of dynamic systems approaches for an integrated account of human development. Child Development, 71(1), 36–43. https://doi.org/10.1111/1467-8624.00116.
Malpas, J. (2002). The weave of meaning: Holism and contextuality. Language & Communication, 22(4), 403–419. https://doi.org/10.1016/s0271-5309(02)00017-4.
Manson, S. (2001). Simplifying complexity: A review of complexity theory. Geoforum, 32(3), 405–414. https://doi.org/10.1016/s0016-7185(00)00035-x.
Mikulecky, D. (2001). The emergence of complexity: Science coming of age or science growing old? Computers & Chemistry, 25(4), 341–348. https://doi.org/10.1016/s0097-8485(01)00070-5.
Mitchell, S. (2009). Unsimple truths: Science, complexity and policy. Chicago: University of Chicago Press.
Morin, E. (2007). Restricted complexity, general complexity. In D. Aerts, C. Gershenson, & B. Edmonds (Eds.), Worldviews, science and us: Philosophy and complexity (pp. 5–29). Singapore: World Scientific Publishing.
Newman, D. (1996). Emergence and strange attractors. Philosophy of Science, 63(2), 245–261.
Nicolis, G. (1995). Introduction to nonlinear science. Cambridge: Cambridge University Press.
Osberg, D., & Biesta, G. J. J. (2007). Beyond presence: Epistemological and pedagogical implications of “strong” emergence. Interchange, 38(1), 31–51. https://doi.org/10.1007/s10780-007-9014-3.
Preiser, R., & Cilliers, P. (2010). Unpacking the ethics of complexity: Concluding reflections. In P. Cilliers & R. Preiser (Eds.), Complexity, difference and identity: An ethical perspective (pp. 265–287). Dordrecht: Springer.
Prigogine, I. (1997). The end of certainty: Time, chaos, and the new laws of nature. London: The Free Press.
Prigogine, I., & Stengers, I. (1984). Order out of chaos: Man’s new dialogue with nature. London: Bantam Books.
Reed, M., & Harvey, D. L. (1992). The new science and the old: Complexity and realism in the social sciences. Journal for the Theory of Social Behaviour, 22(4), 353–380. https://doi.org/10.1111/j.1468-5914.1992.tb00224.x.
Richardson, K., & Cilliers, P. (2001). What is complexity science? A view from different directions. Emergence, 3(1), 5–23. https://doi.org/10.1207/s15327000em0301_02.
Rosen, R. (1987). Some epistemological issues in physics and biology. In B. J. Hiley & F. D. Peat (Eds.), Quantum implications: Essays in honour of David Bohm (pp. 314–327). London: Routledge.
Saljo, R. (2002). My brain’s running slow today—The preference for “things ontologies” in research and everyday discourse on human thinking. Studies in Philosophy and Education, 21(4), 389–405. https://doi.org/10.1023/a:1019834425526.
Simon, H. A. (1996). The sciences of the artificial. Cambridge, MA: MIT Press.
Taylor, C. (1995). To follow a rule. In C. Taylor (Ed.), Philosophical arguments (pp. 165–180). Cambridge, MA: Harvard University Press.
Winch, C. (2010). Dimensions of expertise: A conceptual exploration of vocational knowledge. London & New York: Continuum.
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Hager, P., Beckett, D. (2019). Complex Systems and Complexity Thinking. In: The Emergence of Complexity. Perspectives on Rethinking and Reforming Education. Springer, Cham. https://doi.org/10.1007/978-3-030-31839-0_7
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