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Reclaiming Realism for Active Inference Models: An Emergent Pattern Realist Account

Wu, Yuyou and Jiang, Yihan (2026) Reclaiming Realism for Active Inference Models: An Emergent Pattern Realist Account. In: UNSPECIFIED.

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Abstract

Active inference models have emerged as a promising approach in cognitive science,
yet the tenability of a realist interpretation remains contested. A growing number
of philosophers argue for instrumentalism, claiming that because these models rely
on heavy idealizations and permit explanatory pluralism, they cannot be veridical
descriptions of cognitive architecture. In this paper, we defend the tenability of re-
alism for active inference models. Kirchhoff, Kiverstein, and Robertson (2025) have
shown that the instrumentalist critiques rely on a “literalist” conception of scientific
realism. Endorsing this diagnosis while identifying its limitations, we develop a new
realist framework—Emergent Pattern Realism—which demonstrates that, for a model
to be worthy of realist commitment, it need not be a perfect mirror of reality; rather,
idealization and pluralism are perfectly consistent with capturing mind-independent,
weakly emergent patterns. In doing so, we demonstrate how a robust realism about
active inference models is philosophically defensible.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Wu, Yuyoupryw@leeds.ac.uk0009-0009-7532-6420
Jiang, Yihanjiangyihan@ucas.ac.cn0009-0003-3050-4576
Subjects: Specific Sciences > Cognitive Science
General Issues > Models and Idealization
Depositing User: Mr. Yihan Jiang
Date Deposited: 02 Jun 2026 18:36
Last Modified: 02 Jun 2026 18:36
Item ID: 29874
Subjects: Specific Sciences > Cognitive Science
General Issues > Models and Idealization
Date: June 2026
URI: https://philsci-archive.pitt.edu/id/eprint/29874

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