Making use of Fuzzy Cognitive Maps in Agent-Based Modeling

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
67 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationAdvances in Social Simulation
Subtitle of host publicationLooking in the Mirror
Number of pages7
ISBN (Electronic)978-3-030-34127-5
Publication statusPublished - 2020
Event14th Annual Conference on Social simulation 2018: Looking in the mirror - Department of Computer and Systems Sciences (DSV), Stockholm, Sweden
Duration: 20 Aug 201824 Aug 2018
Conference number: 14

Publication series

NameSpringer proceedings in complexity


Conference14th Annual Conference on Social simulation 2018
Abbreviated titleSSC 2018
Internet address


  • Knowledge Co-Production
  • Participatory Modeling
  • Fuzzy Cognitive Mapping
  • Agent-based modeling
  • 22/3 OA procedure


Dive into the research topics of 'Making use of Fuzzy Cognitive Maps in Agent-Based Modeling'. Together they form a unique fingerprint.

Cite this