Abstract
We build a model of the reflective equilibrium method to better understand under what conditions a community of agents would achieve a shared equilibrium. We find that, despite guaranteeing that agents individually reach equilibrium and numerous constraints on how agents deliberate, it is surprisingly difficult for a community to converge on a small number of equilibria. Consequently, the literature on reflective equilibrium has underestimated the challenge of coordinating intrapersonal convergence and interpersonal convergence.
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CITATION STYLE
Aumgaertner, B., & Lassiter, C. (2023). CONVERGENCE AND SHARED REFLECTIVE EQUILIBRIUM. Ergo, 10, 673–705. https://doi.org/10.3998/ergo.4654
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