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SCAMP’s stigmergic model of social conflict

SCAMP (Social Causality using Agents with Multiple Perspectives) is one of four social simulators that generated socially realistic data for the Ground Truth program. Unlike the other three simulators, it is based on a computational principle, stigmergy, inspired by social insects. Using this approa...

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Detalles Bibliográficos
Autores principales: Parunak, H. Van Dyke, Greanya, Jason, McCarthy, Peggy, Morell, Jonathan A., Nadella, Srikanth, Sappelsa, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594321/
https://www.ncbi.nlm.nih.gov/pubmed/34803474
http://dx.doi.org/10.1007/s10588-021-09347-8
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author Parunak, H. Van Dyke
Greanya, Jason
McCarthy, Peggy
Morell, Jonathan A.
Nadella, Srikanth
Sappelsa, Laura
author_facet Parunak, H. Van Dyke
Greanya, Jason
McCarthy, Peggy
Morell, Jonathan A.
Nadella, Srikanth
Sappelsa, Laura
author_sort Parunak, H. Van Dyke
collection PubMed
description SCAMP (Social Causality using Agents with Multiple Perspectives) is one of four social simulators that generated socially realistic data for the Ground Truth program. Unlike the other three simulators, it is based on a computational principle, stigmergy, inspired by social insects. Using this approach, we modeled conflict in a nation-state inspired by the ongoing scenario in Syria. This paper summarizes stigmergy and describes the Conflict World we built in SCAMP.
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spelling pubmed-85943212021-11-16 SCAMP’s stigmergic model of social conflict Parunak, H. Van Dyke Greanya, Jason McCarthy, Peggy Morell, Jonathan A. Nadella, Srikanth Sappelsa, Laura Comput Math Organ Theory S.I. : Ground Truth: in silico Social Science (GTIS3) SCAMP (Social Causality using Agents with Multiple Perspectives) is one of four social simulators that generated socially realistic data for the Ground Truth program. Unlike the other three simulators, it is based on a computational principle, stigmergy, inspired by social insects. Using this approach, we modeled conflict in a nation-state inspired by the ongoing scenario in Syria. This paper summarizes stigmergy and describes the Conflict World we built in SCAMP. Springer US 2021-11-16 2023 /pmc/articles/PMC8594321/ /pubmed/34803474 http://dx.doi.org/10.1007/s10588-021-09347-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle S.I. : Ground Truth: in silico Social Science (GTIS3)
Parunak, H. Van Dyke
Greanya, Jason
McCarthy, Peggy
Morell, Jonathan A.
Nadella, Srikanth
Sappelsa, Laura
SCAMP’s stigmergic model of social conflict
title SCAMP’s stigmergic model of social conflict
title_full SCAMP’s stigmergic model of social conflict
title_fullStr SCAMP’s stigmergic model of social conflict
title_full_unstemmed SCAMP’s stigmergic model of social conflict
title_short SCAMP’s stigmergic model of social conflict
title_sort scamp’s stigmergic model of social conflict
topic S.I. : Ground Truth: in silico Social Science (GTIS3)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594321/
https://www.ncbi.nlm.nih.gov/pubmed/34803474
http://dx.doi.org/10.1007/s10588-021-09347-8
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