Agent-based models (ABMs) have become an important tool for advancing scientific understanding in a variety of disciplines and more specifically have contributed gains to natural resource management in recent decades. However, a key challenge to their utility is the lack of convergence upon a common set of assumptions for representing key processes (such as agent decision structure), with the outcome that published ABM tools are rarely (if ever) used beyond their original development team. While a number of ABM frameworks are publicly available for use, the continued development of models from scratch is a signal of the continuing difficulty in capturing sufficient modeling flexibility in a single package. In this study we examine ABM sharing by comparing co-citation networks from several well-known ABM frameworks to those used in the land-use change modeling community. We then outline a different publication paradigm for the ABM community that could improve the sharing of model structure and help move toward convergence on a common set of tools and assumptions.
Beschreibung
Modular ABM development for improved dissemination and training - ScienceDirect
%0 Journal Article
%1 BELL2015189
%A Bell, Andrew R.
%A Robinson, Derek T.
%A Malik, Ammar
%A Dewal, Snigdha
%D 2015
%J Environmental Modelling & Software
%K MDTworkshop2019 integration modularity
%P 189 - 200
%R https://doi.org/10.1016/j.envsoft.2015.07.016
%T Modular ABM development for improved dissemination and training
%U http://www.sciencedirect.com/science/article/pii/S1364815215300219
%V 73
%X Agent-based models (ABMs) have become an important tool for advancing scientific understanding in a variety of disciplines and more specifically have contributed gains to natural resource management in recent decades. However, a key challenge to their utility is the lack of convergence upon a common set of assumptions for representing key processes (such as agent decision structure), with the outcome that published ABM tools are rarely (if ever) used beyond their original development team. While a number of ABM frameworks are publicly available for use, the continued development of models from scratch is a signal of the continuing difficulty in capturing sufficient modeling flexibility in a single package. In this study we examine ABM sharing by comparing co-citation networks from several well-known ABM frameworks to those used in the land-use change modeling community. We then outline a different publication paradigm for the ABM community that could improve the sharing of model structure and help move toward convergence on a common set of tools and assumptions.
@article{BELL2015189,
abstract = {Agent-based models (ABMs) have become an important tool for advancing scientific understanding in a variety of disciplines and more specifically have contributed gains to natural resource management in recent decades. However, a key challenge to their utility is the lack of convergence upon a common set of assumptions for representing key processes (such as agent decision structure), with the outcome that published ABM tools are rarely (if ever) used beyond their original development team. While a number of ABM frameworks are publicly available for use, the continued development of models from scratch is a signal of the continuing difficulty in capturing sufficient modeling flexibility in a single package. In this study we examine ABM sharing by comparing co-citation networks from several well-known ABM frameworks to those used in the land-use change modeling community. We then outline a different publication paradigm for the ABM community that could improve the sharing of model structure and help move toward convergence on a common set of tools and assumptions.},
added-at = {2019-11-08T18:38:27.000+0100},
author = {Bell, Andrew R. and Robinson, Derek T. and Malik, Ammar and Dewal, Snigdha},
biburl = {https://www.bibsonomy.org/bibtex/2fcb08abdac083a16145a58432ae3edd5/garypolhill},
description = {Modular ABM development for improved dissemination and training - ScienceDirect},
doi = {https://doi.org/10.1016/j.envsoft.2015.07.016},
interhash = {b2fd17ee515d7bc24afde56667c8d2a1},
intrahash = {fcb08abdac083a16145a58432ae3edd5},
issn = {1364-8152},
journal = {Environmental Modelling & Software},
keywords = {MDTworkshop2019 integration modularity},
pages = {189 - 200},
timestamp = {2019-11-08T18:38:27.000+0100},
title = {Modular ABM development for improved dissemination and training},
url = {http://www.sciencedirect.com/science/article/pii/S1364815215300219},
volume = 73,
year = 2015
}