Computational Models of Emergent Properties

Minds and Machines 18 (4):475-491 (2008)
Computational modeling plays an increasingly important explanatory role in cases where we investigate systems or problems that exceed our native epistemic capacities. One clear case where technological enhancement is indispensable involves the study of complex systems.1 However, even in contexts where the number of parameters and interactions that define a problem is small, simple systems sometimes exhibit non-linear features which computational models can illustrate and track. In recent decades, computational models have been proposed as a way to assist us in understanding emergent phenomena.
Keywords Cellular automata   Computational models   Emergence   Explanation
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DOI 10.1007/s11023-008-9120-8
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References found in this work BETA
Jaegwon Kim (1999). Making Sense of Emergence. Philosophical Studies 95 (1-2):3-36.

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Citations of this work BETA
John Symons & Jack Horner (2014). Software Intensive Science. Philosophy and Technology 27 (3):461-477.
Kari L. Theurer (2014). Complexity-Based Theories of Emergence: Criticisms and Constraints. International Studies in the Philosophy of Science 28 (3):277-301.

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