20240013620. MEMORY-EFFICIENT SYMBOL CREDIT VALUE GENERATION SYSTEM simplified abstract (Aristocrat Technologies, Inc.)
Contents
MEMORY-EFFICIENT SYMBOL CREDIT VALUE GENERATION SYSTEM
Organization Name
Inventor(s)
Scott Delekta of Las Vegas NV (US)
Allon Englman of Las Vegas NV (US)
MEMORY-EFFICIENT SYMBOL CREDIT VALUE GENERATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240013620 titled 'MEMORY-EFFICIENT SYMBOL CREDIT VALUE GENERATION SYSTEM
Simplified Explanation
The patent application describes memory-efficient techniques for assigning credit values to credit symbols in games of chance. These techniques allow for the display of credit values in ascending or descending order while controlling the rate at which they grow or decrease. Additionally, the techniques enable the dynamic generation of credit value sequences from one game to the next, avoiding repetitive use of pre-defined sequences or the need for a large number of pre-defined sequences that consume memory.
- Techniques for assigning credit values to credit symbols in games of chance
- Allows display of credit values in ascending or descending order
- Control over the rate at which credit values grow or decrease
- Dynamic generation of credit value sequences from one game to the next
- Avoids repetitive use of pre-defined credit value sequences
- Reduces memory consumption
Potential Applications:
- Casino games
- Slot machines
- Online gambling platforms
Problems Solved:
- Memory consumption in assigning credit values
- Repetitive use of pre-defined credit value sequences
Benefits:
- Efficient memory usage
- Customizable credit value sequences
- Enhanced user experience in games of chance
Original Abstract Submitted
memory-efficient techniques for assigning credit values to credit symbols in games of chance are provided. such techniques allow such credit values to be displayed in ascending or descending order while still allowing for control of the rate at which the credit values grow (or decrease) in value. moreover, such techniques allow the particular sequences of credit values that are assigned to be dynamically generated from one game to the next, thereby avoiding potentially repetitive use of a limited number of pre-defined credit value sequences to assign credit values or the need for large numbers of pre-defined credit value sequences that may unnecessarily consume memory.
