Suboptimal human inference reflects an efficient and flexible information bottleneck

Abstract excerpt

Human inference is often suboptimal in ways that vary across individuals and tasks. We propose that this variability reflects information processing limits and develop a task-general application of the information bottleneck framework to quantify how much information individuals use (information capacity) and how effectively they use it (efficiency). Applying this framework to human choice behavior across two dist...

Topics

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• Attention Deficit Disorder with Hyperactivity
• Bayes Theorem
• Cognition
• Cross-Sectional Studies
• Impulsive Behavior
• Individuality
• Learning
• Phenotype

Identifiers and source

Literature Corpus work

697c4b19-fbbd-5f0c-b43c-2d0908670614

DOI

10.64898/2026.06.10.731461