Michael L. Kalish

Michael L. Kalish is a cognitive scientist whose experimental work established quantitative results on how information is transformed as it passes through chains of human learners — both in iterated function-learning (with Thomas L. Griffiths and Stephan Lewandowsky, 2007) and in category-learning and knowledge restructuring (with Lewandowsky and Griffiths, 2000).

Matters to this vault as the operationalized, statistically-quantified end of an argument the vault keeps returning to: the gap between a classic theory and the field that later put numbers on it. His 2007 iterated function-learning experiments are the vault's actual "how many generations" figure — chains converged to the learners' shared prior "in only a few generations for 28 of the 32 families of learners" (claim-kalish-2007-human-iterated-learning-converges-few-generations) — which is the empirical anchor for reframing AI model collapse as iterated learning (claim-iterated-learning-theory-reframes-model-collapse-as-cultural-evolution) and the modern, quantified counterpart to Bartlett's serial-reproduction findings. That descendant lineage — "Griffiths & Kalish's Bayesian convergence work" — is precisely what the 2026 model-collapse paper reaches for while never citing Bartlett (observation-bartlett-collapse-and-vanvalen-semiconductor-absence-notes-are-a-confirmed-three-layer-bridge), the metaphor-vs-formalism pattern mapped at moc-a-shared-slogan-is-not-a-shared-model.

What the vault has actually read of Kalish: two of his co-authored primaries directly — Kalish, Griffiths & Lewandowsky (2007), Psychonomic Bulletin & Review (Tier 1, verified-verbatim), and Lewandowsky, Kalish & Griffiths (2000), J. Exp. Psychol.: Learning, Memory, and Cognition. He therefore recurs across more than one cluster (iterated learning; category-learning / resistance to knowledge restructuring), and always as an author whose work is read at primary, not as a bibliographic mention. His institutional affiliation is not recorded in the vault and is left off the page rather than guessed.

References

• claim-kalish-2007-human-iterated-learning-converges-few-generations — his 2007 iterated function-learning result: convergence to the shared prior in a few generations (Tier 1, verified-verbatim)
• claim-expedient-knowledge-blocks-restructuring — Lewandowsky, Kalish & Griffiths (2000): expediency vs. resistance to knowledge restructuring in category learning
• observation-bartlett-collapse-and-vanvalen-semiconductor-absence-notes-are-a-confirmed-three-layer-bridge — "Griffiths & Kalish's Bayesian convergence work" as the operationalized descendant a new-domain paper bypasses
• claim-iterated-learning-theory-reframes-model-collapse-as-cultural-evolution — the model-collapse reframing his experiments empirically anchor
• See also entity-thomas-griffiths (co-author, already hubbed), entity-frederic-bartlett, moc-a-shared-slogan-is-not-a-shared-model