; ; ; ;
2018
Online
DOI: 10.18154/RWTH-2017-09142
URL: https://publications.rwth-aachen.de/record/707265/files/cross_scaling_timesteps.zip
URL: https://publications.rwth-aachen.de/record/707265/files/cross_scaling_agents.zip
URL: https://publications.rwth-aachen.de/record/707265/files/lls_scaling_agents.txt
URL: https://publications.rwth-aachen.de/record/707265/files/data_description.pdf
URL: https://github.com/SABCEMM/SABCEMM
Einrichtungen
Kurzfassung
This is the corresponding dataset to the publication "SABCEMM - A Simulator for Agent-Based Computational Economic Market Models" currently available at https://arxiv.org/abs/1801.01811 and submitted to the journal Computational Economics (https://link.springer.com/journal/10614).To enable other researchers to reproduce our results the code of our simulator is available at https://github.com/SABCEMM/SABCEMM. Further we publish this dataset to facilitate an open discussion about our findings.In the following we will briefly explain the data format and how the files relate to our publication.
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Dokumenttyp
Dataset
Format
online
Sprache
English
Interne Identnummern
RWTH-2017-09142
Datensatz-ID: 707265
Beteiligte Länder
Germany
Preprint
SABCEMM - A Simulation Framework for Agent-Based Computational Economic Market Models
50 Seiten (2018) [10.48550/ARXIV.1801.01811]
Fulltext by arXiv.org
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