2008
DOI: 10.1007/s10588-008-9036-0
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Modelling societal transitions with agent transformation

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 p… Show more

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Cited by 21 publications
(6 citation statements)
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References 18 publications
(17 reference statements)
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“…The first is the transition model of [25][26][27][28] developed in the EU MATISSE project. In this agent-based model, societal change is perceived as an ongoing competition between a currently established regime, and emerging and competing niches, in response to landscape changes.…”
Section: Modeling Transition Dynamicsmentioning
confidence: 99%
“…The first is the transition model of [25][26][27][28] developed in the EU MATISSE project. In this agent-based model, societal change is perceived as an ongoing competition between a currently established regime, and emerging and competing niches, in response to landscape changes.…”
Section: Modeling Transition Dynamicsmentioning
confidence: 99%
“…Causal mechanisms of tipping include economies of scale, learning by doing, and network externalities (Arthur ; Pierson ). If some practice, such as technology, manages to attain a critical mass of users through these mechanisms, the incentive to adopt it grows, and a transition to a new equilibrium occurs (Atkeson and Kehoe ; Schilperoord, Rotmans, and Bergman ; Schmidt and Marschinski ). A sustainable energy transition requires policies that allow the society to reach a tipping point.…”
Section: Sustainable Energy Transitionsmentioning
confidence: 99%
“…Within the scope of societal transitions, examples of studies that replicate past evolutions in order to analyse the underlying dynamics are scarce. A principle application to reconcile historical data within a transition analysis has been presented by Schilperoord et al (2008). More detailed models have been applied to look at historical shifts in naval transportation and in the electricity sector (Yücel, 2010).…”
mentioning
confidence: 99%