{"id":51768,"date":"2020-05-01T09:22:13","date_gmt":"2020-05-01T08:22:13","guid":{"rendered":"https:\/\/www.lse.ac.uk\/granthaminstitute\/?post_type=publication&p=51768"},"modified":"2024-08-19T14:39:58","modified_gmt":"2024-08-19T13:39:58","slug":"policy-option-simulation-in-socio-ecological-systems","status":"publish","type":"publication","link":"https:\/\/www.lse.ac.uk\/granthaminstitute\/publication\/policy-option-simulation-in-socio-ecological-systems\/","title":{"rendered":"Policy option simulation in socio-ecological systems"},"content":{"rendered":"\n

Social-ecological systems (SESs) i.e., systems linking human behavior and environmental dynamics, are characterized as complex, dynamic, and heterogeneous systems. A comprehensive policy simulation in SESs has to consider all these properties. In this paper, we present a conceptual analysis on key aspects of policy simulation in SESs and introduce a combined use of fuzzy cognitive mapping (FCM) and agent-based modeling (ABM) methods as an approach to cover those aspects. We illustrate the applicability of this combined method for policy simulation in the case of a farming community facing water scarcity.<\/p>\n\n\n\n

Mehryar S., Sliuzas R., Schwarz N., van Maarseveen M. (2020) Policy Option Simulation in Socio-ecological Systems. In: Verhagen H., Borit M., Bravo G., Wijermans N. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham<\/strong><\/em><\/p>\n\n","protected":false},"excerpt":{"rendered":"\n

Social-ecological systems (SESs) i.e., systems linking human behavior and environmental dynamics, are characterized as complex, dynamic, and heterogeneous systems. A…<\/p>\n\n","protected":false},"author":12,"featured_media":0,"template":"","tags":[1814,1813,1877],"publication-type":[436],"topic_area":[4698],"class_list":["post-51768","publication","type-publication","status-publish","hentry","tag-agent-based-model","tag-fuzzy-cognitive-map","tag-social-ecological-systems","publication-type-research-articles","topic_area-behavioural-responses"],"acf":{"exclude_from_sync":{"ref_value":"field_560538b0e7350","value":"0","type":false,"post_type":""},"downloads":{"ref_value":"field_52f16cc1a80f2","value":false,"type":"repeater","post_type":""},"rss_newsletter":{"ref_value":"field_54f5c2c1544d8","value":"","type":false,"post_type":""},"profile_link":{"ref_value":"field_52f164b5189e9","value":["sara-mehryar"],"type":"relationship","post_type":"profile"},"article_link":{"ref_value":"field_52eee3c7f0586","value":"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-34127-5_30","type":false,"post_type":""},"article_link_title":{"ref_value":"field_5322399d89d42","value":"External link to article","type":false,"post_type":""}},"yoast_head":"\nPolicy option simulation in socio-ecological systems - Grantham Research Institute on climate change and the environment<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.lse.ac.uk\/granthaminstitute\/publication\/policy-option-simulation-in-socio-ecological-systems\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Policy option simulation in socio-ecological systems - Grantham Research Institute on climate change and the environment\" \/>\n<meta property=\"og:description\" content=\"Social-ecological systems (SESs) i.e., systems linking human behavior and environmental dynamics, are characterized as complex, dynamic, and heterogeneous systems. 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