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  Generalized information theory meets human cognition: Introducing a unified framework to model uncertainty and information search

Crupi, V., Nelson, J. D., Meder, B., Cevolani, G., & Tentori, K. (2018). Generalized information theory meets human cognition: Introducing a unified framework to model uncertainty and information search. Cognitive Science, 42(5), 1410-1456. doi:10.1111/cogs.12613.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-F99F-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-2AF0-D
Genre: Journal Article

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id10007884.pdf (Publisher version), 842KB
 
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https://dx.doi.org/10.1111/cogs.12613 (Publisher version)
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 Creators:
Crupi, Vincenzo1, Author
Nelson, Jonathan D.2, 3, Author           
Meder, Björn2, 3, Author           
Cevolani, Gustavo1, Author
Tentori, Katya1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group iSearch - Information Search, Ecological and Active learning Research with Children, Max Planck Institute for Human Development, Max Planck Society, ou_2421693              
3Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Max Planck Society, Lentzeallee 94, D-14195 Berlin, DE, ou_2074285              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1111/cogs.12613
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Title: Cognitive Science
Source Genre: Journal
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Pages: - Volume / Issue: 42 (5) Sequence Number: - Start / End Page: 1410 - 1456 Identifier: -