This diagram simulates the player dynamics within a single session of a particular slot game, whether virtual or land-based. In other words, it models the player’s experience of the game, up until the point where they close the game or move to another machine (for virtual and land-based games respectively). By applying the Monte Carlo method, the diagram can then repeat this simulation for many players, and the results used to discover the breadth of possibilities, based both on the inherent randomness of the slot game, and on the random-like decision matrix of the player. This process would allow the designer of such a game to better understand the kinds of experiences players may have, and how these may reflect performance metrics such as engagement and session length. It may also aid in fine-tuning the game to dissuade or minimize addictive behavior; or in “levelling out” the average revenue per user, so that the profitability of the game does not become reliant on a small number of exceptionally high spenders.
