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...
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| Format: | Article |
| Language: | English |
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2014-07.
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| Online Access: | Get fulltext |
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| 001 | 361206 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Bullock, Seth |e author |
| 245 | 0 | 0 | |a Levins and the lure of artificial worlds |
| 260 | |c 2014-07. | ||
| 856 | |z Get fulltext |u https://eprints.soton.ac.uk/361206/1/Monist%2520ePrints.pdf | ||
| 520 | |a 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 | ||
| 655 | 7 | |a Article | |