Persistent Credit Value Assignment in Gaming Symbol Sequences
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Solution Overview
Problem
Conventional electronic gaming machines (EGMs) face challenges in generating a continuous sequence of credit values while maintaining designated game return to player (RTP) and conserving computational resources and memory.
Innovation Solution
The EGM uses persistent credit values from reel credit meters to generate a continuous sequence of credit values, randomly assigning these values to feature symbols in a continuous symbol sequence mechanic, thereby conserving computational resources and memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional EGMs generate a continuous sequence of credit values using random number generation for each feature symbol, then the credit values are random and unpredictable, but computational resources and memory are consumed excessively
Solution Approach 1:
The system pre-determines a set of credit values during the base game and stores them in memory before the feature game begins. These pre-determined values are then randomly selected and assigned to feature symbols during the continuous symbol sequence, eliminating the need for real-time random generation and reducing computational burden during the feature game.
Solution Approach 2:
Instead of generating new random credit values for each feature symbol, the system creates copies of the pre-determined credit values from the base game and assigns them to feature symbols. This copying approach maintains the random appearance of credit values while significantly reducing computational resources required during the feature game.
2Use of energy by moving object
If the EGM pre-determines all credit values for the feature game, then computational resources are conserved, but the variability and randomness of credit values are reduced
Solution Approach 1:
The system pre-determines a pool of credit values during the base game that maintains the intended RTP and variability characteristics. During the feature game, random selection from this pre-determined pool preserves the appearance of randomness and variability while conserving computational resources, as the selection process itself is random even though the pool was predetermined.
Solution Approach 2:
The pre-determined set of credit values acts as an intermediary between the base game outcomes and the feature game assignments. This intermediary pool maintains the statistical properties and variability required for fair gameplay while enabling efficient resource usage during the feature game through random selection and assignment.
Data Source
AI summary
A gaming device including a memory device, and a processor is disclosed. The processor may cause display of a plurality of symbols including at least one symbol displaying a respective credit value thereon during a base game. The processor may, in response to triggering a feature game, determine a plurality of persistent values based at least in part on the at least one respective value symbol displayed in the base game, and cause display of a plurality of credit meters displaying the plurality of persistent values. The processor may generate a continuous symbol sequence by randomly assigning a respective persistent value of the plurality of persistent values to a set of feature symbols included in the continuous symbol sequence, and cause display of the continuous symbol sequence during the feature game including causing display of the set of feature symbols.