Article,

Modelling Societal Transitions with Agent Transformation

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Computational & Mathematical Organization Theory, 14 (4): 283--301 (September 2007)

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.

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