Demonstrates how Bayesian inference helps integrate intentions and motor representations, suggesting a novel approach to understanding action.
To explain intentional bodily action, we must address the Interface Problem: how propositional intentions and non-propositional motor representations integrate non-accidentally. Two requirements arise: matching, ensuring a motor representation corresponds to an intention despite format differences, and selection, choosing one motor representation among multiple matches. We combine Gärdenfors’ conceptual spaces with Bayesian inference to meet both requirements.
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Brössel et al. (2026) studied this question.
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