Nr Bramley: Researcher — Prolific Citations Library

Explore 1 peer-reviewed study by Nr Bramley in Bayesian Optimal Experimental Design (BOED) in Behavioral Research (2024). Discover research powered by Prolific's participant panel.

This page lists 1 peer-reviewed paper authored or co-authored by Nr Bramley in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Designing optimal behavioral experiments using machine learning

Authors: S Valentin, S Kleinegesse, NR Bramley, P Seriès

Year: 2024

Published in: Elife, 2024 - elifesciences.org

Institution: University of Edinburgh, University of Cambridge

Research Area: Bayesian Optimal Experimental Design (BOED) in Behavioral Research

Discipline: Artificial Intelligence, Psychology

The paper presents a tutorial on using Bayesian optimal experimental design (BOED) and machine learning to design experiments that efficiently test and evaluate cognitive models, validated via simulations and a real-world case study of exploration-exploitation decision-making.

Methods: The paper employs Bayesian optimal experimental design (BOED) coupled with machine learning to identify optimal experimental configurations. Simulations and a real-world multi-armed bandit experiment are used for validation.

Key Findings: The capacity of BOED to distinguish between cognitive models, parameters explaining human behavior, and how people balance exploration and exploitation.

DOI: https://doi.org/10.7554/eLife.86224

Citations: 15