Fiche du document
2017
- handle: 10670/1.2li4dc
- hal: hal-02105515
- doi: 10.1080/02698595.2019.1565205
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1080/02698595.2019.1565205
info:eu-repo/semantics/OpenAccess
Sujets proches
Knowledge--Philosophy Social theory Natural science Sciences Science of science Mental philosophy Computer modeling Modeling, Computer Computer models Simulation, Computer Models, Computer YieldCiter ce document
Julie Jebeile, « Computer Simulation, Experiment, and Novelty », HAL-SHS : histoire, philosophie et sociologie des sciences et des techniques, ID : 10.1080/02698595.2019.1565205
Métriques
Partage / Export
Résumé
It is often said that computer simulations generate new knowledge about the empirical world in the same way experiments do. My aim is to make sense of such a claim. I first show that the similarities between computer simulations and experiments do not allow them to generate new knowledge but invite the simulationist to interact with simulations in an experimental manner. I contend that, nevertheless, computer simulations and experiments yield new knowledge under the same epistemic circumstances, independently of any features they may share.