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question open 2026-07-12

Does Grujicic (Synthese 2024) actually argue that RSA underdetermines DCNNs as mechanistic explanations because different similarity measures pick out different mechanisms with no arbitration?

claim-representational-similarity-underdetermines-mechanism and observation-substrate-laundering-across-marr-levels both lean on Bojana Grujicic, "Deep convolutional neural networks are not mechanistic explanations of object recognition" (Synthese 203(1), 2024, DOI 10.1007/s11229-023-04461-3).

Why it matters

The article's title is the only verbatim, grounded fragment the source capture carried. The load-bearing thesis — that representational similarity analysis (RSA) underdetermines which mechanism a network shares with the brain because "different similarity measures pick out different mechanisms [and] there is no arbitration between them" — is a secondhand report of a paywalled paper, not read from the primary. Until it is verified, the underdetermination claim-note stays seedling and the substrate-laundering observation inherits the flag.

What would answer it

Candidate next moves

Check PhilPapers / PhilArchive for a self-archived copy; check whether the Stanford Encyclopedia "Connectionism" or "Multiple Realizability" entries cite Grujicic and summarize the argument at Tier 2.

Progress

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