Heppenstall, A;
Crooks, A;
Malleson, N;
Manley, E;
Ge, J;
Batty, M;
(2020)
Future Developments in Geographical Agent-Based Models: Challenges and Opportunities.
Geographical Analysis
10.1111/gean.12267.
(In press).
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Abstract
Despite reaching a point of acceptance as a research tool across the geographical and social sciences, there remain significant methodological challenges for agentbased models. These include recognizing and simulating emergent phenomena, agent representation, construction of behavioral rules, and calibration and validation. While advances in individual-level data and computing power have opened up new research avenues, they have also brought with them a new set of challenges. This article reviews some of the challenges that the field has faced, the opportunities available to advance the state-of-the-art, and the outlook for the field over the next decade. We argue that although agent-based models continue to have enormous promise as a means of developing dynamic spatial simulations, the field needs to fully embrace the potential offered by approaches from machine learning to allow us to fully broaden and deepen our understanding of geographical systems.
Type: | Article |
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Title: | Future Developments in Geographical Agent-Based Models: Challenges and Opportunities |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1111/gean.12267 |
Publisher version: | https://doi.org/10.1111/gean.12267 |
Language: | English |
Additional information: | Copyright © 2020 The Authors. Geographical Analysis published by Wiley Periodicals LLC on behalf of The Ohio State University. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
URI: | https://discovery.ucl.ac.uk/id/eprint/10117737 |
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