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At any given time, a casino has to decide which table games to present to its customers and what betting limits to place on those tables. Understanding that a table games is a service and that the table limit is pricing, this is a classic service pricing problem. However, the number of tables and the fact that we can assign many different games to them leads to the novel research question: How do you which services to offer at what prices when customers have different preferences for each option? The resulting problem has the standard complications of a service problem with congestion but suffers from additional combinatorial challenges. The central goal of this project is to find efficient algorithms to answer this question.
Dr. Michael Pavlin
Mohammadreza Farahani
Tangam Systems Inc.
Engineering - computer / electrical
Information and communications technologies
University of Waterloo
Accelerate
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