Catalin Barboianu
University of Bucharest (PhD)
Games of chance are developed in their physical consumer-ready form on the basis of mathematical models, which stand as the premises of their existence and represent their physical processes. There is a prevalence of statistical and probabilistic models in the interest of all parties involved in the study of gambling – researchers, game producers and operators, and players – while functional models are of interest more to math-inclined players than problem-gambling researchers. In this paper I present a structural analysis of the knowledge attached to mathematical models of games of chance and the act of modeling, arguing that such knowledge holds potential in the prevention and cognitive treatment of excessive gambling, and I propose further research in this direction.
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References found in this work BETA

Mathematical Explanation in Science.Alan Baker - 2009 - British Journal for the Philosophy of Science 60 (3):611-633.
The Analysis of Knowledge.Jonathan Ichikawa & Matthias Steup - 2014 - Stanford Encylopedia of Philosophy.
Mathematical Models: Questions of Trustworthiness.Adam Morton - 1993 - British Journal for the Philosophy of Science 44 (4):659-674.

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