A standard form of citation of this article is:
Huet, Sylvie and Deffuant, Guillaume (2008). 'Differential Equation Models Derived from an Individual-Based Model Can Help to Understand Emergent Effects'. Journal of Artificial Societies and Social Simulation 11(2)10 <https://www.jasss.org/11/2/10.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{huet2008,
title = {Differential Equation Models Derived from an Individual-Based Model Can Help to Understand Emergent Effects},
author = {Huet, Sylvie and Deffuant, Guillaume},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {11},
number = {2},
pages = {10},
year = {2008},
URL = {https://www.jasss.org/11/2/10.html},
keywords = {Primacy Effect, Information Filtering, Agent-Based Model, Aggregated Model, Collective Effects of Interactions, Double-Modelling},
abstract = {We study a model of primacy effect on individual's attitude. Typically, when receiving a strong negative feature first, the individual keeps a negative attitude whatever the number of moderate positive features it receives afterwards. We consider a population of individuals, which receive the features from a media, and communicate with each other. We observe that interactions favour the primacy effect, compared with a population of isolated individuals. We derive a differential equation system ruling the evolution of probabilities that individuals retain different sets of features. The study of this aggregated model of the IBM shows that interaction can increase or decrease the number of individuals exhibiting a primacy effect. We verify on the IBM that the interactions can decrease the primacy effect in the conditions suggested by the study of the aggregated model. We finally discuss the interest of such a double-modelling approach (using a model of the individual based model) for this application.},
}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 - Differential Equation Models Derived from an Individual-Based Model Can Help to Understand Emergent Effects
AU - Huet, Sylvie
AU - Deffuant, Guillaume
Y1 - 2008/03/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 11
IS - 2
SP - 10
UR - https://www.jasss.org/11/2/10.html
KW - Primacy Effect
KW - Information Filtering
KW - Agent-Based Model
KW - Aggregated Model
KW - Collective Effects of Interactions
KW - Double-Modelling
N2 - We study a model of primacy effect on individual's attitude. Typically, when receiving a strong negative feature first, the individual keeps a negative attitude whatever the number of moderate positive features it receives afterwards. We consider a population of individuals, which receive the features from a media, and communicate with each other. We observe that interactions favour the primacy effect, compared with a population of isolated individuals. We derive a differential equation system ruling the evolution of probabilities that individuals retain different sets of features. The study of this aggregated model of the IBM shows that interaction can increase or decrease the number of individuals exhibiting a primacy effect. We verify on the IBM that the interactions can decrease the primacy effect in the conditions suggested by the study of the aggregated model. We finally discuss the interest of such a double-modelling approach (using a model of the individual based model) for this application.
ER -