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Ideal, best, and emerging practices in creating artificial societies.

Giabbanelli, Philippe J. and Voinov, Alexey A. and Castellani, Brian and Tornberg, Petter (2019) 'Ideal, best, and emerging practices in creating artificial societies.', in 2019 Spring Simulation Conference (SpringSim 2019). , pp. 13-24.

Abstract

Artificial societies used to guide and evaluate policies should be built by following “best practices”. However, this goal may be challenged by the complexity of artificial societies and the interdependence of their sub-systems (e.g., built environment, social norms). We created a list of seven practices based on simulation methods, specific aspects of quantitative individual models, and data-driven modeling. By evaluating published models for public health with respect to these ideal practices, we noted significant gaps between current and ideal practices on key items such as replicability and uncertainty. We outlined opportunities to address such gaps, such as integrative models and advances in the computational machinery used to build simulations.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.23919/SpringSim.2019.8732881
Publisher statement:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date accepted:No date available
Date deposited:27 August 2019
Date of first online publication:10 June 2019
Date first made open access:No date available

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