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Making use of fuzzy cognitive maps in agent-based modeling

Mehryar, Sara ORCID: 0000-0002-5755-0869, Schwarz, Nina, Sliuzas, Richard and van Maarseveen, Martin (2020) Making use of fuzzy cognitive maps in agent-based modeling. In: Verhagen, Harko, Borit, Melania, Bravo, Giangiacomo and Wijermans, Nanda, (eds.) Advances in Social Simulation: Looking in the Mirror, 2018. Springer Proceedings in Complexity. Springer Berlin / Heidelberg, SWE, 307 - 313. ISBN 9783030341268

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Identification Number: 10.1007/978-3-030-34127-5_29


One of the main challenges in Agent-Based Modeling (ABM) is to model agents’ preferences and behavioral rules such that the knowledge and decision-making processes of real-life stakeholders will be reflected. To tackle this challenge, we demonstrate the potential use of a participatory method, Fuzzy Cognitive Mapping (FCM), that aggregates agents’ qualitative knowledge (i.e., knowledge co-production). In our proposed approach, the outcome of FCM would be a basis for designing agents’ preferences and behavioral rules in ABM. We apply this method to a social-ecological system of a farming community facing water scarcity.

Item Type: Book Section
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Additional Information: © 2020 Springer Nature Switzerland AG
Divisions: Grantham Research Institute
Subjects: Q Science
Q Science > QA Mathematics
Date Deposited: 24 Jul 2020 09:57
Last Modified: 16 May 2024 05:54

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