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2018 | OriginalPaper | Chapter

3. Complex Systems for Narrative Theorists

Author : Susan Stepney

Published in: Narrating Complexity

Publisher: Springer International Publishing

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Abstract

This chapter provides a relatively non-technical introduction to complex systems, from a scientific perspective, at a level useful to both scientists and narrative theorists. It covers several complexity science concepts: it discusses models and meta-models, and how these can be used to define the concepts of novelty, innovation, and emergence; it distinguishes the concepts of non-linearity of scale, and non-linearity in time; it introduces several concepts from dynamical systems theory, including trajectories through state space, deterministic behaviour, attractors, bifurcations, and the idea of “edge of chaos”. It discusses how these concepts are used in their own domains, and how they might be applied metaphorically.

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Footnotes
1
Also known as agent-based modelling, and as individual-based modelling. Even when called “agent-based”, there is not necessarily a requirement for the relevant entities to have “agency”.
 
2
Provided zero height has zero weight. The more general case is slightly different, but the underlying principle holds.
 
Literature
go back to reference Aristotle (1908) Metaphysics (trans: Ross WD). Clarendon Press, Oxford Aristotle (1908) Metaphysics (trans: Ross WD). Clarendon Press, Oxford
go back to reference Banzhaf W et al (2016) Defining and simulating open-ended novelty: requirements, guidelines, and challenges. Theory Biosci 135(3):131–161CrossRef Banzhaf W et al (2016) Defining and simulating open-ended novelty: requirements, guidelines, and challenges. Theory Biosci 135(3):131–161CrossRef
go back to reference Deutsch D (1998) The fabric of reality. Penguin, London Deutsch D (1998) The fabric of reality. Penguin, London
go back to reference Langton CG (1990) Computation at the edge of chaos: phase transitions and emergent computation. Phys D Nonlinear Phenom 42(1–3):12–37MathSciNetCrossRef Langton CG (1990) Computation at the edge of chaos: phase transitions and emergent computation. Phys D Nonlinear Phenom 42(1–3):12–37MathSciNetCrossRef
go back to reference Stepney S (2012) Non-classical computation: a dynamical systems perspective. In: Rozenberg G, Bäck T, Kok JN (eds) Handbook of natural computing. Springer, Heidelberg, pp 1979–2025CrossRef Stepney S (2012) Non-classical computation: a dynamical systems perspective. In: Rozenberg G, Bäck T, Kok JN (eds) Handbook of natural computing. Springer, Heidelberg, pp 1979–2025CrossRef
go back to reference Stepney S, Polack FAC, Turner HR (2006) Engineering emergence. In: 11th IEEE international conference on engineering of complex computer systems (ICECCS’06). IEEE, pp 89–97 Stepney S, Polack FAC, Turner HR (2006) Engineering emergence. In: 11th IEEE international conference on engineering of complex computer systems (ICECCS’06). IEEE, pp 89–97
go back to reference Strogatz SH (2014) Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering. Westview Press, BoulderMATH Strogatz SH (2014) Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering. Westview Press, BoulderMATH
Metadata
Title
Complex Systems for Narrative Theorists
Author
Susan Stepney
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-64714-2_3

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