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Sampling from Implicit Bayesian Models: Towards a General Framework for Cognitive Modeling

2026-07-21

Abstract excerpt

<p>Computational process models are pivotal tools for studying the human mind, offering explicit algorithmic accounts of how human behavior arises. However, they are often siloed across individual tasks and domains, lacking a coherent framework for examining computational principles shared across cognition. The challenges are twofold. First, existing models rely heavily on researcher-defined and task-dependent rep...

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Literature Corpus work
f7e75405-8f02-5218-a6e4-17d12561d4f2
DOI
10.31234/osf.io/m9b2y_v1
Open publication

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Sampling from Implicit Bayesian Models: Towards a General Framework for Cognitive ModelingDOI 10.31234/osf.io/m9b2y_v1
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