IP Library Patent Application 18354592
Patent Application
App. No. 18/354,592

SYSTEMS AND METHODS FOR SLOT MACHINE GAME DEVELOPMENT UTILIZING ARTIFICIAL INTELLIGENCE GAME MATH DESIGN SYSTEMS

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Quick Facts
Patent No.
US None
App. No.
18/354,592
Abstract

Systems and methods for developing a game of chance. The game of chance being at least partially developed using specialized artificial intelligence (AI) game design systems or specialized artificial intelligence game design system modules or components which may include different types of machine learning or training techniques, including supervised, unsupervised, reinforced, deep learning and artificial neural networks and/or similar and may include analyzing past game performance utilizing full, partial or estimated prior game performance data for developing slot machine game math models, slot machine game mechanics and associated game programming, slot machine game art and graphics, slot machine animations, slot machine game sound effects, partial or full slot machine game development, slot machine computer code, slot machine game quality assurance diagnosis and editing, slot machine game analytics, slot machine compliance, slot machine help screens, and slot game predictive models, etc.

Claims (34)

1 . A gaming method comprising:

at least partially developing executable instructions or computer readable files related to game math for a game chance for a gaming machine using an artificial intelligence game math design system based upon machine learning training including analyzing past game performance; and

utilizing the at least partially developed executable instructions or computer readable files to present and allow play of the game of chance for a gaming machine, the gaming machine including at least one of a monetary input device configured to receive a physical item associated with a monetary value and/or cashless wagering, a user interface, at least one processor for running the at least partially developed executable instructions or computer readable files related to the game math for the game of chance, a game display and memory in communication with the at least one processor.

2 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes utilizing at least partially supervised machine learning training to at least partially develop game math for a game of chance.

3 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizing at least partially supervised machine learning training to at least partially develop executable instructions or computer readable files.

4 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes at least a past game performance analytics module utilizing at least partially supervised machine learning training.

5 . The gaming method of claim 1 wherein the at least part developing executable instructions or computer readable files related to game math for a game of chance for a gaming machine includes developing game math of at least one of a reel strip math, payline math, hit frequency math, return to player math, bonus feature math, symbol weighting math, scatter and wild symbol math, multiplier math, and gamble feature math.

6 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes utilizing at least partially unsupervised machine learning training to at least partially develop game math for a game of chance.

7 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizing at least partially unsupervised machine learning training to at least partially develop executable instructions or computer readable files.

8 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizing at least partially unsupervised machine learning training to at least partially develop executable instructions or computer readable files.

9 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes at least a past game performance analytics module utilizing at least partially unsupervised machine learning training.

10 . The gaming method of claim 1 wherein the at least partially developing executable instructions or computer readable files related to game math for a game of chance for a gaming machine utilizes at least partially unsupervised machine learning training and includes developing game math of at least one of a reel strip math, payline math, hit frequency math, return to player math, bonus feature math, symbol weighting math, scatter and wild symbol math, multiplier math, and gamble feature math.

11 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes utilizing at least partially reinforced machine learning training to at least partially develop game math models for a game of chance.

12 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizing at least partially reinforced machine learning training to at least partially develop executable instructions or computer readable files.

13 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizing at least partially reinforced machine learning training to at least partially develop executable instructions or computer readable files.

14 . The gaming method of claim 1 wherein the artificial intelligence game math design system includes at least a past game performance analytics module utilizing at least partially reinforced machine learning training.

15 . The gaming method of claim 1 wherein the at least partially developing executable instructions or computer readable files related to game math models for a game of chance for a gaming machine utilizes at least partially reinforced machine learning training and includes developing game math of at least one of a reel strip math, payline math, hit frequency math, return to player math, bonus feature math, symbol weighting math, scatter and wild symbol math, multiplier math, and gamble feature math.

16 . A gaming system comprising:

at least a portion of developed executable instructions or computer readable files related to game math models for a game of chance for a gaming machine using an artificial intelligence game math design system based upon machine learning training including analysis of past game performance; and

wherein the at least partially developed executable instructions or computer readable files are used to present and allow play of the game of chance on a gaming machine, the gaming machine including at least one of a monetary input device configured to receive a physical item associated with a monetary value and cashless wagering, a user interface, at least one processor for running the at least partially developed executable instructions or computer readable files related to the game math models for the game of chance for a gaming machine, a game display and memory in communication with the at least one processor.

17 . The gaming system of claim 16 wherein the artificial intelligence game math design system utilizes at least partially supervised machine learning training to at least partially develop game math models for a game of chance.

18 . The gaming system of claim 16 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizing at least partially supervised machine learning training to at least partially develop executable instructions or computer readable files.

19 . The gaming system of claim 16 wherein the artificial intelligence game math design system includes at least a past game performance analytics module utilizing at least partially supervised machine learning training.

20 . The gaming system of claim 16 wherein the at least partially developed executable instructions or computer readable files related to game math for a game of chance for a gaming machine utilize at least partially supervised machine learning training and are configured game math of at least one of a reel strip math, payline math, hit frequency math, return to player math, bonus feature math, symbol weighting math, scatter and wild symbol math, multiplier math, and gamble feature math.

21 . The gaming system of claim 16 wherein the artificial intelligence game math design system utilizes at least partially unsupervised machine learning training to at least partially develop game math models for a game of chance.

22 . The gaming system of claim 16 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizing at least partially unsupervised machine learning training to at least partially develop executable instructions or computer readable files.

23 . The gaming system of claim 16 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizing at least partially unsupervised machine learning training to at least partially develop executable instructions or computer readable files.

24 . The gaming system of claim 16 wherein the artificial intelligence game math design system includes at least a past game performance analytics module utilizing at least partially unsupervised machine learning training.

25 . The gaming system of claim 16 wherein the at least partially developed executable instructions or computer readable files related to game math models for a game of chance for a gaming machine utilize at least partially unsupervised machine learning training and are configured to develop game math of at least one of a reel strip math, payline math, hit frequency math, return to player math, bonus feature math, symbol weighting math, scatter and wild symbol math, multiplier math, and gamble feature math.

26 . The gaming system of claim 16 wherein the artificial intelligence game math design system utilizes at least partially reinforced machine learning training to at least partially develop game math models for a game of chance.

27 . The gaming system of claim 16 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizes at least partially reinforced machine learning training to at least partially develop executable instructions or computer readable files.

28 . The gaming system of claim 16 wherein the artificial intelligence game math design system includes at least an artificial intelligence game math design system module utilizes at least partially reinforced machine learning training to at least partially develop executable instructions or computer readable files.

29 . The gaming system of claim 16 wherein the artificial intelligence game math design system includes at least a past game performance analytics module utilizing at least partially reinforced machine learning training.

30 . The gaming system of claim 16 wherein the at least partially developed executable instructions or computer readable files related to game math for a game of chance for a gaming machine utilizing at least partially reinforced machine learning training and includes developing game math of at least one of a reel strip math, payline math, hit frequency math, return to player math, bonus feature math, symbol weighting math, scatter and wild symbol math, multiplier math, and gamble feature math.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2024
From: COLVIN, DAVID; COLVIN, ERIC
To: SIERRA ARTIFICIAL NEURAL NETWORKS
Reel/Frame 069703/0053 →