Agent-based modelling as a method for prediction for complex social systems

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	133-142
Journal	International Journal of Social Research Methods.
Volume	26
Issue number	2
DOIs	https://doi.org/10.1080/13645579.2023.2152007
Publication status	Published - 22 Feb 2023

Keywords

@article{2a5fa962bbc84f42bc90a4f4d0166850,

title = "Agent-based modelling as a method for prediction for complex social systems",

keywords = "Agent-Based Models, Complex Systems, Prediction",

author = "C. Elsenbroich and J.G. Polhill",

year = "2023",

month = feb,

day = "22",

doi = "10.1080/13645579.2023.2152007",

language = "English",

volume = "26",

pages = "133--142",

journal = "International Journal of Social Research Methods.",

number = "2",

}

TY - JOUR

T1 - Agent-based modelling as a method for prediction for complex social systems

AU - Elsenbroich, C.

AU - Polhill, J.G.

PY - 2023/2/22

Y1 - 2023/2/22

KW - Agent-Based Models

KW - Complex Systems

KW - Prediction

U2 - 10.1080/13645579.2023.2152007

DO - 10.1080/13645579.2023.2152007

M3 - Article

VL - 26

SP - 133

EP - 142

JO - International Journal of Social Research Methods.

JF - International Journal of Social Research Methods.

IS - 2

ER -