Levins and the lure of artificial worlds
Levins and the lure of artificial worlds
What is it about simulation models that has led some practitioners to treat them as potential sources of empirical data on the real-world systems being simulated; that is, to treat simulations as ‘artificial worlds’ within which to perform computational ‘experiments’? Here we use the work of Richard Levins as a starting point in identifying the appeal of this model building strategy, and proceed to account for why this appeal is strongest for computational modellers. This analysis suggests a perspective on simulation modelling that makes room for ‘artificial worlds’ as legitimate science without having to accept that they should be treated as sources of empirical data
301-320
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
July 2014
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Bullock, Seth
(2014)
Levins and the lure of artificial worlds.
The Monist, 97 (3), .
Abstract
What is it about simulation models that has led some practitioners to treat them as potential sources of empirical data on the real-world systems being simulated; that is, to treat simulations as ‘artificial worlds’ within which to perform computational ‘experiments’? Here we use the work of Richard Levins as a starting point in identifying the appeal of this model building strategy, and proceed to account for why this appeal is strongest for computational modellers. This analysis suggests a perspective on simulation modelling that makes room for ‘artificial worlds’ as legitimate science without having to accept that they should be treated as sources of empirical data
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Monist ePrints.pdf
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Published date: July 2014
Organisations:
Agents, Interactions & Complexity
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Local EPrints ID: 361206
URI: http://eprints.soton.ac.uk/id/eprint/361206
ISSN: 0026-9662
PURE UUID: 63718849-b7be-4091-96a1-c29d85a9f777
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Date deposited: 16 Jan 2014 11:05
Last modified: 14 Mar 2024 15:47
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