Computational approaches to modeling gambling behaviour : opportunities for understanding disordered gambling
department or school: Arts, Faculty of
department or school: Psychology, Department of
data provider: DSpace
identifier citation: Hales, C., Clark, L., & Winstanley, C. (2023). Computational approaches to modeling gambling behaviour: Opportunities for understanding disordered gambling. Neuroscience & Biobehavioral Reviews, 147.
contributor: Djavad Mowafaghian Centre for Brain Health
creator: Hales, C. A.
creator: Clark, L.
creator: Winstanley, C. A.
issued: 2024-12-04T19:23:05Z
issued: 2023-02-10
description: Computational modeling has become an important tool in neuroscience and psychiatry research to provide insight into the cognitive processes underlying normal and pathological behavior. There are two modeling frameworks, reinforcement learning (RL) and drift diffusion modeling (DDM), that are well developed in cognitive science, and have begun to be applied to Gambling Disorder. RL models focus on explaining how an agent uses reward to learn about the environment and make decisions based on outcomes. The DDM is a binary choice framework that breaks down decision making into psychologically meaningful components based on choice reaction time analyses. Both approaches have begun to yield insight into aspects of cognition that are important for, but not unique to, gambling, and thus relevant to the development of Gambling Disorder. However, these approaches also oversimplify or neglect various aspects of decision making seen in real-world gambling behavior. Gambling Disorder presents an opportunity for ‘bespoke’ modeling approaches to consider these neglected components. In this review, we discuss studies that have used RL and DDM frameworks to investigate some of the key cognitive components in gambling and Gambling Disorder. We also include an overview of Bayesian models, a methodology that could be useful for more tailored modeling approaches. We highlight areas in which computational modeling could enable progression in the investigation of the cognitive mechanisms relevant to gambling.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/89780
note: 1 Article Title: Computational approaches to modeling gambling behaviour: opportunities for understanding disordered gambling Authors and Affiliations: C. A. Hales1,2, L. Clark1,2, C.A. Winstanley1,2 1. Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BritishColumbia, Canada.2. Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada.Funding and acknowledgements: This work was supported by a Discovery Grant awarded to CAW from the Natural Sciences and Engineering Council of Canada (NSERC; RGPIN-2017-05006) and Canadian Institutes of Health Research operating grant to CAW (PJT-162312). CAH was supported by a Michael Smith Health Research BC Trainee Award (RT-2020-0564). The Centre for Gambling Research at the University of British Columbia (LC) is supported by the Province of British Columbia government and the British Columbia Lottery Corporation (BCLC; a Canadian Crown Corporation). LC holds a Discovery Award from the Natural Sciences and Engineering Research Council of Canada (RGPIN‐2017‐04069). This review covers experimental work which took place at a University of British Columbia campus situated on the traditional, ancestral, and unceded land of the xʷməθkʷəyə̓m (Musqueam), sə̓lílwətaʔɬSelilwitulh (Tsleil-Waututh) and Sḵwxw̱ú7mesh (Squamish) Peoples. We acknowledge and are grateful for their stewardship of this land for thousands of years. Conflicts of interest: LC is the Director of the Centre for Gambling Research at UBC, which is supported by funding from the Province of British Columbia and the British Columbia Lottery Corporation (BCLC), a Canadian Crown Corporation. The Province of BC government and the BCLC had no role in the preparation of this manuscript, and impose no constraints on publishing. LC has received a speaker/travel honorarium from the National Association for Gambling Studies (Australia) and the International Center for Responsible Gaming (US), and has received fee…
has type: Article
has type: Postprint
is shown at: 10.14288/1.0447406
language: eng
peer review status: Reviewed
provider: Vancouver : University of British Columbia Library
publisher DOI: 10.1016/j.neubiorev.2023.105083
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Faculty
scholar level: Postdoctoral
type: Text
identifier URI: http://hdl.handle.net/2429/89780