Learning in a Small/Big World

Learning in a Small/Big World

This paper looks into how learning behavior changes with the complexity of the inference problem and the individual's cognitive ability, as I compare the optimal learning behavior with bounded memory in small and big worlds. A learning problem is a small

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Bibliographische Detailangaben
1. Verfasser: Leung, B. T. K.
Format: Dataset
Sprache:eng
Schlagworte:
Bayesian
Bounded Memory
Disagreement
Ignorance
Learning
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Beschreibung
Zusammenfassung:This paper looks into how learning behavior changes with the complexity of the inference problem and the individual's cognitive ability, as I compare the optimal learning behavior with bounded memory in small and big worlds. A learning problem is a small
DOI:10.17863/cam.61846