Evidence map›Paper›PMID 25981912›Full record

ReviewCurrent topics in behavioral neurosciences2016

The Computational Complexity of Valuation and Motivational Forces in Decision-Making Processes.

A David Redish, Nathan W Schultheiss, Evan C Carter

Open access · greenAbstract readReview
In one paragraph

Review in Current topics in behavioral neurosciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Computational validity: using computation to translate behaviours across species.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  6. Pleasure, Reward Value, Prediction Error and Anhedonia.Current topics in behavioral neurosciences · 2022
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Altering gain of the infralimbic-to-accumbens shell circuit alters economically dissociable decision-making algorithms.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Article
  13. Vicarious trial and error.Nature reviews. Neuroscience · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

A David RedishDepartment of Neuroscience, University of Minnesota, Minneapolis, USA. redish@umn.edu.
Nathan W SchultheissDepartment of Neuroscience, University of Minnesota, Minneapolis, USA.
Evan C CarterDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, USA.
University of Minnesota · US

Funding

NEUROSCIENCE TRAINING IN DRUG ABUSE RESEARCHT32DA007234 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Paul G Mermelstein, Jocelyn M Richard · 1986 to 2026
$10.9M
The covert expectation of reward during deliberationR01DA030672 · NIDA · UNIVERSITY OF MINNESOTA · PI REDISH, A DAVID · 2012 to 2016
$1.8M
NIDA NIH HHS R01 DA030672NIDA NIH HHS T32 DA007234
6 · The paper itself

Abstract

The concept of value is fundamental to most theories of motivation and decision making. However, value has to be measured experimentally. Different methods of measuring value produce incompatible valuation hierarchies. Taking the agent's perspective (rather than the experimenter's), we interpret the different valuation measurement methods as accessing different decision-making systems and show how these different systems depend on different information processing algorithms. This identifies the translation from these multiple decision-making systems into a single action taken by a given agent as one of the most important open questions in decision making today. We conclude by looking at how these different valuation measures accessing different decision-making systems can be used to understand and treat decision dysfunction such as in addiction.

Indexed as

Decision MakingDecision TheoryMotivationBehavior, AddictiveHumansDecision-MakingMultiple Decision TheoryNeuroeconomonicsValuation

Identifiers

PMID25981912
PMCPMC4937458
OpenAlexW358420894

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.