Laplace’s Demon and the Adventures of His Apprentices

Citation data:

Philosophy of Science, ISSN: 0031-8248, Vol: 81, Issue: 1, Page: 31-59

Publication Year:
Usage 395
Abstract Views 179
Downloads 136
Full Text Views 76
Link-outs 4
Captures 40
Readers 35
Exports-Saves 5
Social Media 1
Tweets 1
Citations 16
Citation Indexes 16
Repository URL:
Frigg, Roman; Bradley, Seamus ; Du , Hailiang ; Smith, Leonard A.
University of Chicago Press; The University of Chicago Press
Arts and Humanities
Most Recent Tweet View All Tweets
article description
The sensitive dependence on initial conditions (SDIC) associated with nonlinear models imposes limitations on the models' predictive power. We draw attention to an additional limitation than has been underappreciated, namely, structuralmodel error (SME).Amodel has SME if the model dynamics differ from the dynamics in the target system. If a nonlinear model has only the slightest SME, then its ability to generate decision-relevant predictions is compromised. Given a perfect model, we can take the effects of SDIC into account by substituting probabilistic predictions for point predictions. This route is foreclosed in the case of SME, which puts us in a worse epistemic situation than SDIC. © 2014 by the Philosophy of Science Association. All rights reserved.