Computational Models of Emergent Properties

Minds and Machines 18 (4):475-491 (2008)
John Symons
University of Kansas
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

Objects and Persons.Trenton Merricks - 2001 - New York: Oxford University Press.
Thinking About Mechanisms.Peter K. Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
Making Sense of Emergence.Jaegwon Kim - 1999 - Philosophical Studies 95 (1-2):3-36.
The Structure of Scientific Theories.Frederick Suppe (ed.) - 1974 - Urbana, University of Illinois Press.

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Citations of this work BETA

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

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