A standard form of citation of this article is:
Epstein, Joshua M. (2008). 'Why Model?'. Journal of Artificial Societies and Social Simulation 11(4)12 <https://www.jasss.org/11/4/12.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{epstein2008,
title = {Why Model?},
author = {Epstein, Joshua M.},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {11},
number = {4},
pages = {12},
year = {2008},
URL = {https://www.jasss.org/11/4/12.html},
keywords = {[No keywords]},
abstract = {This address treats some enduring misconceptions about modeling. One of these is that the goal is always prediction. The lecture distinguishes between explanation and prediction as modeling goals, and offers sixteen reasons other than prediction to build a model. It also challenges the common assumption that scientific theories arise from and 'summarize' data, when often, theories precede and guide data collection; without theory, in other words, it is not clear what data to collect. Among other things, it also argues that the modeling enterprise enforces habits of mind essential to freedom. It is based on the author's 2008 Bastille Day keynote address to the Second World Congress on Social Simulation, George Mason University, and earlier addresses at the Institute of Medicine, the University of Michigan, and the Santa Fe Institute.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Why Model?
AU - Epstein, Joshua M.
Y1 - 2008/10/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 11
IS - 4
SP - 12
UR - https://www.jasss.org/11/4/12.html
KW - [No keywords]
N2 - This address treats some enduring misconceptions about modeling. One of these is that the goal is always prediction. The lecture distinguishes between explanation and prediction as modeling goals, and offers sixteen reasons other than prediction to build a model. It also challenges the common assumption that scientific theories arise from and 'summarize' data, when often, theories precede and guide data collection; without theory, in other words, it is not clear what data to collect. Among other things, it also argues that the modeling enterprise enforces habits of mind essential to freedom. It is based on the author's 2008 Bastille Day keynote address to the Second World Congress on Social Simulation, George Mason University, and earlier addresses at the Institute of Medicine, the University of Michigan, and the Santa Fe Institute.
ER -