Trajectories toward maximum power and inequality in resource distribution networks.

Autor: Natalie Davis, Andrew Jarvis, M J Aitkenhead, J Gareth Polhill

Publikováno v: PLoS ONE, Vol 15, Iss 3, p e0229956 (2020)

Resource distribution networks are the infrastructure facilitating the flow of resources in both biotic and abiotic systems. Both theoretical and empirical arguments have proposed that physical systems self-organise to maximise power production, but

Externí odkaz: https://doaj.org/article/818e777aadd44536afa80797b21a9b18

Correction: It's not the 'what', but the 'how': Exploring the role of debt in natural resource (un)sustainability.

Autor: Julen Gonzalez-Redin, J Gareth Polhill, Terence P Dawson, Rosemary Hill, Iain J Gordon

Publikováno v: PLoS ONE, Vol 13, Iss 8, p e0202509 (2018)

[This corrects the article DOI: 10.1371/journal.pone.0201141.].

Externí odkaz: https://doaj.org/article/4e6dd6cf3b924c2196c635a63d0b834c

Projecting the effect of crop yield increases, dietary change and different price scenarios on land use under two different state security regimes

Autor: James A. Reilly, Terence P. Dawson, Robin B. Matthews, Pete Smith, Corran C. Musk, Jacqueline M. Potts, J. Gareth Polhill

Publikováno v: International Journal of Agricultural Sustainability, Vol 19, Iss 3-4, Pp 288-304 (2021)

Using an Agent-Based Model with a two-scale decision making process incorporating economic, geographic, social and political subsystems, we projected the rate and proportion of land use change in England and Wales from the year 2000 to the year 2050.

Externí odkaz: https://doaj.org/article/1a150aa9b46a453c809e22daa2c465a9

Sensemaking of causality in agent-based models

Autor: Patrycja Antosz, Timo Szczepanska, Loes Bouman, J. Gareth Polhill, Wander Jager

Publikováno v: International Journal of Social Research Methodology: Theory and Practice
International Journal of Social Research Methodology, 25(4), 557-567. ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD

Even though agent-based modelling is seen as committing to a mechanistic, generative type of causation, the methodology allows for representing many other types of causal explanations. Agent-based models are capable of integrating diverse causal rela

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c574f4884f123374c7225da03664d8e
https://doi.org/10.1080/13645579.2022.2049510

Machine-assisted agent-based modeling

Autor: Firouzeh Taghikhah, Alexey Voinov, Tatiana Filatova, J. Gareth Polhill

Publikováno v: Journal of computational science, 64:101854. Elsevier

While agent-based modeling (ABM) has become one of the most powerful tools in quantitative social sciences, it remains difficult to explain their structure and performance. We propose to use artificial intelligence both to build the models from data,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::060688b9a849c40133f0c5ef60685793
http://www.scopus.com/inward/record.url?scp=85138337611&partnerID=8YFLogxK