Modelling societal transitions with agent transformation

Michel Schilperoord (), Jan Rotmans () and Noam Bergman ()
Additional contact information
Michel Schilperoord: Erasmus University Rotterdam
Jan Rotmans: Erasmus University Rotterdam
Noam Bergman: University of Oxford

Computational and Mathematical Organization Theory, 2008, vol. 14, issue 4, No 3, 283-301

Abstract: Abstract Transition models explain long-term and large-scale processes fundamentally changing the structure of a societal system. Our concern is that most transition models are too static. Although they capture a move of focus from static equilibria to transitions between dynamic equilibria, they are still rooted in an “equilibriumist” approach. Improvement is possible with agent-based models that give attention to endogenous system processes called “transformation processes”. These models can render far more dynamic pictures of societal systems in transition, and are no longer remote from descriptions in the emerging transition literature.

Keywords: Societal transitions; Integrated sustainability assessment; Agent-based modelling (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s10588-008-9036-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:comaot:v:14:y:2008:i:4:d:10.1007_s10588-008-9036-0

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10588

DOI: 10.1007/s10588-008-9036-0

Access Statistics for this article

Computational and Mathematical Organization Theory is currently edited by Terrill Frantz and Kathleen Carley

More articles in Computational and Mathematical Organization Theory from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().