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How Humans Restructure Predictive Models: Context-Tree Dynamics in Sequential Learning

2026-03-18

Abstract excerpt

<title>Abstract</title> <p>Human learning in sequential environments often involves uncovering latent statistical structures that govern event regularities. In this study, we investigate how individuals adapt their internal predictive models while playing the Goalkeeper Game, a stochastic sequence prediction task driven by a probabilistic context tree. We introduce a real-time context-tree inference framework tha...

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Literature Corpus work: 91b54903-9aa0-5719-93e6-c27fc1918706
DOI: 10.21203/rs.3.rs-8970014/v1

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