US 11,995,575 B2
Real-time calculation of expected values to provide machine-generated outputs proportional to inputs
Rory Angus Harpur, Durban North (ZA)
Assigned to Games Global Operations Limited, Douglas (IM)
Filed by Games Global Operations Limited, Douglas (IM)
Filed on Jul. 28, 2020, as Appl. No. 16/940,782.
Prior Publication US 2021/0034997 A1, Feb. 4, 2021
Int. Cl. G06N 20/00 (2019.01); G06F 3/0346 (2013.01); G06F 3/147 (2006.01); G06F 7/544 (2006.01); G06F 17/16 (2006.01); G06N 7/01 (2023.01); G06Q 10/06 (2023.01); G06Q 10/08 (2023.01); G07F 17/32 (2006.01); G06F 3/04847 (2022.01); G07F 17/34 (2006.01)
CPC G06N 7/01 (2023.01) [G06F 7/5443 (2013.01); G06F 17/16 (2013.01); G07F 17/323 (2013.01); G06F 3/04847 (2013.01); G07F 17/3213 (2013.01); G07F 17/3258 (2013.01); G07F 17/34 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
obtaining, by way of a user interface and for an iteration of a probabilistic computation of a wager game that comprises (i) a base feature associated with a first output calculation and (ii) a progressive feature associated with a second output calculation, a first input signal representing a wager amount for the probabilistic computation and a second input signal representing a proportion of the first input signal to be allocated to the second output calculation of the progressive feature, wherein the probabilistic computation is associated with initial parameters for executing the base feature and the progressive feature;
in response to obtaining the first input signal and the second input signal and based thereon, determining updated parameters of the probabilistic computation by:
generating, by way of a first model associated with the progressive feature, a first output signal that is statistically proportional to the combination of the first input signal and the second input signal, wherein the first output signal represents a likelihood of a particular result being generated by the second output calculation, and wherein the particular result is configured to trigger the progressive feature, and
generating a second output signal that adheres to constraints defined by a second model based on the second input signal, wherein the second model is associated with the base feature, and wherein the second output signal represents an expected value percentage of the first output calculation such that a constant overall expected value percentage for the probabilistic computation is retained independently of the first input signal and the second input signal,
modifying the probabilistic computation by replacing the initial parameters with the updated parameters and within a predetermined period of time that simulates real-time operation of an apparatus configured to provide the wager game, wherein modifying the probabilistic computation comprises changing, for the iteration of the probabilistic computation, the likelihood of the particular result being generated by the second output calculation based on the first output signal and changing, for the iteration of the probabilistic computation, the expected value percentage of the first output calculation based on the second output signal;
executing, by simulation of the apparatus configured to provide the wager game, the iteration of the probabilistic computation of the wager game by performing, using the probabilistic computation as modified, the first output calculation as part of the base feature of the wager game and the second output calculation as part of the progressive feature of the wager game; and causing the user interface to display a visual representation of the simulation of the apparatus, wherein the visual representation comprises an animation of a matrix representing results of performing the first output calculation as part of the base feature of the wager game and the second output calculation as part of the progressive feature of the wager game.