Cookies?
Library Header Image
LSE Research Online LSE Library Services

Computational scientific discovery in cognitive science

Lane, Peter C. R. and Gobet, Fernand ORCID: 0000-0002-9317-6886 (2024) Computational scientific discovery in cognitive science. In: 2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI). IEEE, 275 - 277. ISBN 9798350386738

[img] Text (Lane-Gobet-cogmi_2024_tutorial) - Accepted Version
Available under License Creative Commons Attribution.

Download (331kB)
Identification Number: 10.1109/cogmi62246.2024.00043

Abstract

AI-guided scientific discovery will become an indispensable tool for scientists in the not too distant future. This half-day tutorial begins by introducing the area of computational scientific discovery within the cognitive sciences along with an overview of recent models of cognitive behaviour developed using these tools. The second half of the tutorial presents a detailed walk-through of our methodology and computational system, where participants will learn how to design experiments, evolve and analyse candidate models using the GEMS (Genetically Evolving Models in Science) system. Although specialised towards the cognitive sciences, many of the principles of model definition and discovery can be more broadly applied, and so the tutorial should be of interest to the wider Cognitive Machine Intelligence community.

Item Type: Book Section
Additional Information: © 2025 IEEE
Divisions: CPNSS
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Date Deposited: 28 Jan 2025 16:21
Last Modified: 17 Feb 2025 10:45
URI: http://eprints.lse.ac.uk/id/eprint/127104

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics