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Balancing New against Old Information: The Role of Puzzlement Surprise in Learning

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Publication:5157106
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DOI10.1162/neco_a_01025zbMath1471.91426arXiv1606.05642OpenAlexW2766414154WikidataQ47289114 ScholiaQ47289114MaRDI QIDQ5157106

Kerstin Preuschoff, Mohammadjavad Faraji, Wulfram Gerstner

Publication date: 12 October 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1606.05642


zbMATH Keywords

dynamic decision-makingsurprise-driven learningsurprise-minimizing framework


Mathematics Subject Classification ID

Memory and learning in psychology (91E40) Applications of statistics to psychology (62P15)


Related Items

A taxonomy of surprise definitions ⋮ Learning in Volatile Environments With the Bayes Factor Surprise



Cites Work

  • A Mathematical Theory of Communication
  • Of bits and wows: a Bayesian theory of surprise with applications to attention
  • Novelty, Information and Surprise
  • Online Learning with Hidden Markov Models
  • Active Inference: A Process Theory
  • Unnamed Item
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