Article

Computational Models Gone Rogue

2026-07-15

Abstract excerpt

<p>Computational models are powerful tools in cognitive science. They provide formal, testable accounts of human behavior and allow for nuanced interpretations of data that go beyond raw behavioral metrics. Yet, in recent years, there has been a growing concern about the validity of modeling results, as cases of model misspecification have been shown to create artifacts that undermine the conclusions drawn. In thi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5a6b4752-f573-5e97-9a0d-3c83ea15323d
DOI: 10.31234/osf.io/tc34w_v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Computational Models Gone RogueDOI 10.31234/osf.io/tc34w_v1Read

Cognitive modeling using artificial intelligenceSemantic proximity Read

AI Surrogacy in Psychological ResearchSemantic proximity Read

Closed-Loop Scientific Discovery in the Behavioral SciencesSemantic proximity Read

No Coincidence, George: Processing Limits in Cognitive Function Reflect the Curse of GeneralizationSemantic proximity Read

Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theorySemantic proximity Read

On logical inference over brains, behaviour, and artificial neural networksSemantic proximity Read

How slopaganda exploits features of human cognitionSemantic proximity Read

Centaur: a foundation model of human cognitionSemantic proximity Read

Artificial Cognition: How Experimental Psychology Can Help Generate Explainable Artificial IntelligenceSemantic proximity Read