Socially situating NormAN: Standpoints and epistemic diversity in a Bayesian, agent-based model.

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  • Dealing with diversity
  • Identity flexibility and sustainable cooperation
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Description of Study
Established modelling frameworks in formal social epistemology are insufficiently complex to faithfully express situated knowledge and standpoints, two core notions from feminist epistemology. They may capture standpoint occupancy in terms of surface notions like agents' verisimilitude or epistemic steadfastness, but, in doing so, they risk ‘interpretative overloading’ of their basic model features. To address this problem, I propose an extension to the recently introduced framework “NormAN”, in which agents use heterogeneous Bayes' nets to perform Bayesian updating on evidence they encounter through inquiry or communication. Inspired by Saint-Croix 2020, I then model standpoint occupancy via adherence to formal constraints on the subjective perspectives that agents entertain about the causal structure of their world.
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