English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Efficiency and prioritization of inference-based credit assignment

Moran, R., Dayan, P., & Dolan, R. (2021). Efficiency and prioritization of inference-based credit assignment. Current Biology, 31(13), 2747-2756. doi:10.1016/j.cub.2021.03.091.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Moran, R, Author
Dayan, P1, 2, Author              
Dolan, RJ, Author
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: Organisms adapt to their environments by learning to approach states that predict rewards and avoid states associated with punishments. Knowledge about the affective value of states often relies on credit assignment (CA), whereby state values are updated on the basis of reward feedback. Remarkably, humans assign credit to states that are not observed but are instead inferred based on a cognitive map that represents structural knowledge of an environment. A pertinent example is authors attempting to infer the identity of anonymous reviewers to assign them credit or blame and, on this basis, inform future referee recommendations. Although inference is cognitively costly, it is unknown how it influences CA or how it is apportioned between hidden and observable states (for example, both anonymous and revealed reviewers). We addressed these questions in a task that provided choices between lotteries where each led to a unique pair of occasionally rewarding outcome states. On some trials, both states were observable (rendering inference nugatory), whereas on others, the identity of one of the states was concealed. Importantly, by exploiting knowledge of choice-state associations, subjects could infer the identity of this hidden state. We show that having to perform inference reduces state-value updates. Strikingly, and in violation of normative theories, this reduction in CA was selective for the observed outcome alone. These findings have implications for the operation of putative cognitive maps.

Details

show
hide
Language(s):
 Dates: 2021-042021-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.cub.2021.03.091
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Current Biology
  Other : Curr. Biol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London, UK : Cell Press
Pages: - Volume / Issue: 31 (13) Sequence Number: - Start / End Page: 2747 - 2756 Identifier: ISSN: 0960-9822
CoNE: https://pure.mpg.de/cone/journals/resource/954925579107