Authors
Jon Lawhead
University of Southern California
Abstract
Recent work by Frigg et. al. and Mayo-Wilson have called attention to a particular sort of error associated with attempts to model certain complex systems: structural modeling error. The assessment of the degree of SME in a model presupposes agreement between modelers about the best way to individuate natural systems, an agreement which can be more problematic than it appears. This problem, which we dub “the system individuation problem” arises in many of the same contexts as SME, and the two often compound one another. This paper explores the common roots of the two problems in concerns about the precision of predictions generated by scientific models, and discusses how both concerns bear on the study of complex natural systems, particularly the global climate.
Keywords philosophy of science  structural model error  complexity  complex systems  climate science  system individuation
Categories (categorize this paper)
Reprint years 2015
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 71,231
Through your library

References found in this work BETA

Science in the Age of Computer Simulation.Eric Winsberg - 2010 - University of Chicago Press.
Abstraction and the Organization of Mechanisms.Arnon Levy & William Bechtel - 2013 - Philosophy of Science 80 (2):241-261.
An Organizational Account of Biological Functions.Matteo Mossio, Cristian Saborido & Alvaro Moreno - 2009 - British Journal for the Philosophy of Science 60 (4):813-841.
Confirmation and Robustness of Climate Models.Elisabeth A. Lloyd - 2010 - Philosophy of Science 77 (5):971–984.

View all 30 references / Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Modeling Measurement: Error and Uncertainty.Alessandro Giordani & Luca Mari - 2014 - In Marcel Boumans, Giora Hon & Arthur Petersen (eds.), Error and Uncertainty in Scientific Practice. Pickering & Chatto. pp. 79-96.
The 'Now What' Problem for Error Theory.Matt Lutz - 2014 - Philosophical Studies 171 (2):351-371.
Belief Systems and the Modeling Relation.Roberto Poli - 2016 - Foundations of Science 21 (1):195-206.
Structural Chaos.Conor Mayo-Wilson - 2015 - Philosophy of Science 82 (5):1236-1247.

Analytics

Added to PP index
2016-01-02

Total views
86 ( #136,866 of 2,518,493 )

Recent downloads (6 months)
3 ( #205,898 of 2,518,493 )

How can I increase my downloads?

Downloads

My notes