English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

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

MPS-Authors
/persons/resource/persons139685

Nelson,  Jonathan D.       
Max Planck Research Group iSearch - Information Search, Ecological and Active learning Research with Children, Max Planck Institute for Human Development, Max Planck Society;
Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Max Planck Society;

/persons/resource/persons139664

Meder,  Björn       
Max Planck Research Group iSearch - Information Search, Ecological and Active learning Research with Children, Max Planck Institute for Human Development, Max Planck Society;
Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-0001-F99F-4
Abstract
There is no abstract available