UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Active learning reveals underlying decision strategies

Parpart, P; Schulz, E; Speekenbrink, M; Love, B; (2017) Active learning reveals underlying decision strategies. Cold Spring Harbor Laboratory Press (In press). Green open access

[thumbnail of 239558.full.pdf]
Preview
Text
239558.full.pdf - Accepted Version

Download (787kB) | Preview

Abstract

One key question is whether people rely on frugal heuristics or full-information strategies when making preference decisions. We propose a novel method, model-based active learning, to answer whether people conform more to a rank-based heuristic (Take-The-Best) or a weight-based full-information strategy (logistic regression). Our method eclipses traditional model comparison techniques by using information theory to characterize model predictions for how decision makers should actively sample information. These analyses capture how sampling affects learning and how learning affects decisions on subsequent trials. We develop and test model-based active learning algorithms for both Take-The-Best and logistic regression. Our findings reveal that people largely follow a weight-based learning strategy rather than a rank-based strategy, even in cases where their preference decisions are better predicted by the Take-The-Best heuristic. This finding suggests that people may have more refined knowledge than is revealed by their preference decisions, but which can be revealed by their information sampling behavior. We argue that model-based active learning is an effective and sensitive method for model selection that expands the basis for model comparison.

Type: Working / discussion paper
Title: Active learning reveals underlying decision strategies
Open access status: An open access version is available from UCL Discovery
DOI: 10.1101/239558
Publisher version: https://doi.org/10.1101/239558
Language: English
Additional information: The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license http://creativecommons.org/licenses/by/4.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: https://discovery.ucl.ac.uk/id/eprint/10057112
Downloads since deposit
125Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item