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= Workshop: Computational Scientific Discovery in the Social Sciences

Workshop held on the 12^th^ December 2023 at AI-2023 Forty-third SGAI
International Conference on Artificial Intelligence CAMBRIDGE, ENGLAND 12-14
DECEMBER 2023.

http://bcs-sgai.org/ai2023/?section=workshops

This workshop will explore some AI approaches to developing scientific models,
particularly considering applications in social science. This area is
relatively unexplored, and presents some unique challenges, particularly as
models must address both the less-than-perfect accuracy of human behaviour as
well as capture this behaviour in time-bound environments. We will provide an
introduction and case-studies in this area and deliver a tutorial on GEMS, our
own system of scientific discovery. 

Chairs: Dr. Peter Lane and Prof. Fernand Gobet. (All enquiries to Peter Lane at <p.c.lane@herts.ac.uk>.)

Programme:

. Introduction to Computational Scientific Discovery in Social Sciences, by Prof. Fernand Gobet - https://gems.codeberg.page/downloads/AI-2023-Gobet.pdf[slides]
. Examples of applying this and related methodologies in Psychology and Social Sciences 
.. Evolving Cognitive Models of Verbal Learning, by Dr. Noman Javed and Dr. Dmitry Bennett - https://gems.codeberg.page/downloads/AI-2023-Javed-Bennett.pdf[slides]
.. Using Genetic Programming to Develop Theories in Psychology, by Dr. Laura Bartlett - https://gems.codeberg.page/downloads/AI-2023-Bartlett.pdf[slides]
. Tutorial of the GEMS system, by Dr. Peter Lane - https://gems.codeberg.page/downloads/AI-2023-Tutorial.pdf[slides]
.. setting up task definitions for scientific experiments
.. defining a search space of candidate models
.. searching techniques, such as Genetic Programming.
.. visualisation and analysis of results 

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 <p xmlns:cc="http://creativecommons.org/ns#" >The slides presented in this workshop are licensed under <a href="http://creativecommons.org/licenses/by-nc-nd/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY-NC-ND 4.0<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/nc.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/nd.svg?ref=chooser-v1"></a></p> 
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