A methodology for eliciting and modelling stakeholders' representations with Agent Based Modelling

Nicolas Becu, François Bousquet, Olivier Barreteau, Pascal Perez, Andrew Walker

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

26 Citations (Scopus)


In the frame of using models to promote dialogue among stakeholders, we are interested in modelling representations as a mean to share viewpoints and opinions. A first trend for modelling representations uses socio-cognitive theories as frameworks for modelling. This article proposes a different approach combining Knowledge Engineering elicitation techniques and Agent Based Modelling. The use of elicitation techniques provides a methodological framework to capture representations directly from stakeholders' discourse. Agent Based Modelling serves as a modelling structure which enables managing representations' heterogeneity and conflicting opinions. The proposed methodology is detailed and applied to farmers' representations of runoff and erosion in south of France. To achieve the construction of a running model of the interviewees' shared representation, it was necessary to implement theoretical data supplementing the elicited information. We argue that companion modelling approach can help sharing and discussing those non-elicited information with stakeholders.

Original languageEnglish
Title of host publication4th International Workshop, MABS 2003
Number of pages18
Publication statusPublished - 2004
Externally publishedYes
EventInternational Workshop on MultiAgent Based Simulation 2003 - Melbourne, Australia
Duration: 14 Jul 200314 Jul 2003
Conference number: 4th

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
ISSN (Print)0302-9743


ConferenceInternational Workshop on MultiAgent Based Simulation 2003
Abbreviated titleMABS 2003

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