Discrete beliefs space and equilibrium: a cautionary note

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Bounded rationality requires assumptions about ways in which rationality is con-
strained and agents form their expectations. Evolutionary schemes have been used to model beliefs dynamics, with agents choosing endogenously among a limited number of beliefs heuristics according to their relative performance. This work shows that arbitrarily constraining the beliefs space to a finite (small) set of possibilities can generate artificial equilibria that can be stable under evolutionary dynamics. Only when "enough" heuristics are available are beliefs in equilibrium not artificially constrained. I discuss these findings in light of an alternative approach to modelling beliefs dynamics, namely, adaptive learning.
Original languageEnglish
JournalJournal of Evolutionary Economics
Issue number2
Publication statusPublished - 2021


  • expectations
  • evolutionary dynamics
  • learning
  • equilibrium


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