A nice surprise?: Predictive processing and the active pursuit of novelty

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Recent work in cognitive and computational neuroscience depicts human brains as devices that minimize prediction error signals: signals that encode the difference between actual and expected sensory stimulations. This raises a series of puzzles whose common theme concerns a potential misfit between this bedrock informationtheoretic vision and familiar facts about the attractions of the unexpected. We humans often seem to actively seek out surprising events, deliberately harvesting novel and exciting streams of sensory stimulation. Conversely, we often experience some wellexpected sensations as unpleasant and to-be-avoided. In this paper, I explore several core and variant forms of this puzzle, using them to display multiple interacting elements that together deliver a satisfying solution. That solution requires us to go beyond the discussion of simple information-theoretic imperatives (such as 'minimize long-term prediction error') and to recognize the essential role of species-specific prestructuring, epistemic foraging, and cultural practices in shaping the restless, curious, novelty-seeking human mind.

LanguageEnglish
Pages521-534
Number of pages14
JournalPhenomenology and the Cognitive Sciences
Volume17
Issue number3
DOIs
Publication statusPublished - Jul 2018

Fingerprint

Equipment and Supplies
Brain
Novelty
Prediction
Pursuit
Sensory Stimulation
Surprise
Neuroscience
Cultural Practices
Attraction
Foraging
Human Mind
Computational
Cognitive Neuroscience

Bibliographical note

Copyright the Author(s) 2017. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Novelty
  • Prediction
  • Prediction error
  • Surprise

Cite this

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A nice surprise? Predictive processing and the active pursuit of novelty. / Clark, Andy.

In: Phenomenology and the Cognitive Sciences, Vol. 17, No. 3, 07.2018, p. 521-534.

Research output: Contribution to journalArticleResearchpeer-review

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