Gaming System Converting Primary Outcomes to Secondary Games
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Gaming machines using probability-based systems face uncertainty in award distribution, leading to volatility in player experiences and revenue for casinos, which can result in loss or excessive profit, and are often regulated against, while deterministic systems require significant memory for storing outcomes and presentations.
Innovation Solution
A gaming system that monitors player activity to convert primary game outcomes to secondary game outcomes based on conditions such as secondary game triggering frequency, using either predetermined or randomly determined game outcomes, allowing the same award to be presented in either game type, thereby increasing player excitement and reducing volatility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If probability-based systems are used to determine game outcomes, then player excitement and casino profit potential are improved, but outcome certainty and regulatory compliance deteriorate
Solution Approach 1:
The system dynamically switches between probability-based outcome determination and deterministic conversion based on monitored secondary game trigger frequency. When triggers fall outside the target range, the system converts primary outcomes to secondary outcomes to adjust the distribution, thereby maintaining both player excitement and outcome certainty simultaneously through adaptive behavior.
Solution Approach 2:
The system monitors the actual frequency of secondary game triggers and compares it to a target frequency range. Based on this feedback, the system determines whether to convert primary game outcomes to secondary game outcomes, creating a closed-loop control mechanism that ensures regulatory compliance while maintaining player engagement.
2Reliability
If deterministic systems are used to guarantee award distribution, then regulatory compliance and outcome certainty are improved, but memory requirements and system complexity worsen
Solution Approach 1:
The system segments the outcome determination process into two parts: primary game outcomes determined by probability-based RNG (requiring minimal memory), and secondary game outcomes generated through conversion based on monitored trigger frequency. This segmentation allows the system to meet regulatory requirements without storing large deterministic outcome sets, reducing memory requirements while maintaining compliance.
3Productivity
If secondary game trigger frequency is increased to maintain target ranges, then player engagement is improved, but game outcome distribution and volatility control worsen
Solution Approach 1:
The system continuously monitors secondary game trigger frequency and uses this feedback to determine conversion decisions. When the trigger frequency falls outside the target range, the system converts primary outcomes to secondary outcomes to bring the frequency back into the desired range, thereby maintaining both player engagement and award distribution stability through adaptive control.
Solution Approach 2:
The system changes the parameter of outcome presentation (primary vs. secondary game) based on monitored trigger frequency. By dynamically adjusting which game type presents the awarded outcome, the system maintains secondary game trigger frequency within target ranges while preserving the stability of overall award distribution and reducing volatility.
Data Source
AI summary
Gaming systems and methods for converting primary game outcomes to secondary game outcomes based on the satisfaction of one or more conditions.


