Evidence map›Paper›PMID 37644832›Full record

ArticleProceedings. Biological sciences2023

A minimal model of learning: quantifying the cost and benefit of learning in changing environments.

Emerson Arehart, Frederick R Adler

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Emerson ArehartDepartment of Biology, University of Pennsylvania, 433 S University Ave, Philadelphia, PA 19104, USA.ORCID 0000-0002-0862-4219
Frederick R AdlerDepartment of Mathematics and School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many organisms have the ability to learn, but the costs and benefits of learning are difficult to quantify. We construct a minimal mathematical model of learning in which a forager attempts to maximize the amount of resources (food) it collects in a changing environment. Our model has two learning parameters:

Indexed as

FoodLearningAnimalsCost-Benefit Analysischanging environmentsforaging strategymulti-armed banditoptimal foragingreinforcement learningrestless bandit

Identifiers

PMID37644832
PMCPMC10465976

What OpenQuestion holds

Textmetadata
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.