Gaming RNG Second Chance Trigger Probability Control
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Solution Overview
Problem
Conventional electronic gaming systems lack the ability to effectively manage randomness and payout volatility when generating second chance opportunities to trigger feature games based on the number of feature symbols appearing in a base game outcome, leading to uncontrolled increases in feature game trigger rates and payout frequencies.
Innovation Solution
An electronic gaming system that uses a symbol-driven mechanic with a random number generator (RNG) to generate second chance opportunities, where the probability of triggering a feature game increases with the number of feature symbols, and employs lookup tables weighted according to the number of symbols to control randomness and volatility, allowing for delayed display of feature symbols and using different weight tables for base and feature games to manage RTP and volatility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of feature symbols is used to determine feature game trigger probability, then player engagement and perceived chance of winning increase, but payout volatility and trigger rate control become unmanageable
Solution Approach 1:
The system dynamically changes the probability parameter for feature game triggers based on the count of feature symbols displayed. As more feature symbols appear, the probability of triggering a feature game increases, creating adaptability while maintaining control through predefined probability adjustments
Solution Approach 2:
The system uses feedback from the number of feature symbols displayed to adjust the trigger probability. The RNG evaluation incorporates the feature symbol count as a feedback mechanism that modulates the likelihood of entering a feature game, balancing player engagement with payout control
2Productivity
If second chance opportunities are generated based on feature symbol count, then feature game trigger rates increase, but randomness control and regulatory compliance become difficult
Solution Approach 1:
The system implements dynamic randomness control where the probability of triggering a feature game is not fixed but varies based on the number of feature symbols. This dynamic adjustment allows increased trigger rates while maintaining controlled randomness through programmable probability modifications
Solution Approach 2:
The RNG parameters are changed based on feature symbol count. The system modifies the probability parameters dynamically, allowing the trigger rate to increase with more feature symbols while maintaining regulatory compliance through controlled parameter adjustments rather than uncontrolled randomness
Data Source
AI summary
An electronic gaming system includes a memory and a processor configured to execute instructions stored in the memory. The instructions, when executed, cause the processor to cause display of a base game outcome within a first play area including a number of instances of a feature symbol, and to determine that the number of instances of the feature symbol displayed in the first play area does not satisfy a first condition to trigger a feature game. The instructions, when executed, also cause the processor to determine that a second condition to trigger the feature game is satisfied by at least one random number generator outcome, wherein a probability that the second condition is satisfied corresponds to the number of instances of the feature symbol in the first play area. The instructions, when executed, also cause the processor to initiate the feature game in response to the second condition being satisfied.