Computational Scientific Discovery in Cognitive Science

Created by W.Langdon from gp-bibliography.bib Revision:1.8355

@InProceedings{Lane:2024:CogMI,

• author = "Peter C. R. Lane and Fernand Gobet",
• title = "Computational Scientific Discovery in Cognitive Science",
• booktitle = "2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI)",
• year = "2024",
• pages = "275--277",
• month = oct,
• keywords = "genetic algorithms, genetic programming, Analytical models, Computational modelling, Tutorials, Cognitive science, Machine intelligence, cognitive models, scientific discovery, visualisation",
• DOI = "doi: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.",
• notes = "Also known as \cite{10835645}",

}

Genetic Programming entries for Peter C R Lane Fernand Gobet

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