Machine-assisted agent-based modeling: opening the black box

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

Original language	English
Article number	Art. 101854
Journal	Journal of Computational Science
Volume	64
DOIs	https://doi.org/10.1016/j.jocs.2022.101854
Publication status	Published - 1 Oct 2022

Keywords

@article{35ec6639bb5444909c362f8c10df00dd,

title = "Machine-assisted agent-based modeling: opening the black box",

keywords = "Agent-Based Model, Decision Trees, Machine Learning",

author = "F. Taghikhah and A. Voinov and T. Filatova and J.G. Polhill",

year = "2022",

month = oct,

day = "1",

doi = "10.1016/j.jocs.2022.101854",

language = "English",

volume = "64",

journal = "Journal of Computational Science",

}

TY - JOUR

T1 - Machine-assisted agent-based modeling: opening the black box

AU - Taghikhah, F.

AU - Voinov, A.

AU - Filatova, T.

AU - Polhill, J.G.

PY - 2022/10/1

Y1 - 2022/10/1

KW - Agent-Based Model

KW - Decision Trees

KW - Machine Learning

U2 - 10.1016/j.jocs.2022.101854

DO - 10.1016/j.jocs.2022.101854

M3 - Article

VL - 64

JO - Journal of Computational Science

JF - Journal of Computational Science

M1 - Art. 101854

ER -