Group Wager Settlement Using Bin Packing for Digital Games
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Solution Overview
Problem
Existing digital games and betting systems lack the capability to facilitate group wagering experiences, and operators face risks of excessive monetary losses due to individual player outcomes.
Innovation Solution
A system and method that converts solitary-style games into group participatory wagering experiences by using a bin packing model to identify and manage group wagers, apply stake reduction factors, and settle wagers based on game outcomes, while utilizing a centralized database for data storage and communication across compute devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a solitary-style digital game is used, then individual wagering is simple and straightforward, but group participatory wagering capability is lacking
Solution Approach 1:
The system segments wager data into distinct categories (first wager data from first compute device, second wager data from plurality of second compute devices) and processes them through separate network sockets. The bin packing model segments the plurality of second wagers into subsets based on wager amounts, allowing individual game outcomes to be associated with specific groups of wagers rather than requiring complete system redesign for group wagering
Solution Approach 2:
The centralized database serves multiple functions: storing first wager data, storing second wager data, storing game outcomes, and facilitating both individual and group wagering settlements. The bin packing model provides a universal approach to grouping wagers that can be applied to various game types and wager configurations, enabling the system to handle both solitary and group participatory wagering through the same core infrastructure
2Reliability
If individual wagers are settled based on unique outcomes, then settlement is straightforward, but operator risk management is difficult
Solution Approach 1:
The bin packing model performs preliminary grouping of second wagers into subsets before game outcomes are determined. By pre-organizing wagers based on amounts and characteristics, the system establishes settlement groups in advance, which simplifies the subsequent settlement process while enabling comprehensive risk analysis across multiple wagers rather than handling each wager individually after outcomes are known
Solution Approach 2:
The system uses feedback from aggregated wager data to inform risk management decisions. By analyzing the distribution of wager amounts across different subsets and outcomes, the operator can adjust betting limits, game parameters, or promotional offerings to manage overall risk exposure while maintaining accurate settlement for individual wagers
3Productivity
If all second wagers are processed individually, then each wager receives individual attention, but processing efficiency decreases
Solution Approach 1:
The bin packing model divides the plurality of second wagers into multiple subsets based on wager amounts and characteristics. Each subset can be processed independently and associated with specific game outcomes, allowing parallel processing of multiple wager groups simultaneously. This segmentation maintains precise tracking of individual wager outcomes while dramatically improving overall processing throughput compared to handling each wager sequentially
Solution Approach 2:
Wagers with similar characteristics or wager amounts are merged into the same subset for collective processing. This combining approach allows the system to handle groups of wagers efficiently while maintaining the ability to individually settle each wager based on its specific outcome, achieving both processing efficiency and outcome accuracy
Data Source
AI summary
A method includes receiving, from a plurality of first compute devices, a group wager to produce a plurality of group wagers, each group wager having (1) a wager amount that is defined at that first compute device and (2) a condition that is based on an outcome of a game that is played by a user of a second compute device that is not included in the plurality of first compute devices. In response to executing the game to determine a winning settlement, an electronic payment amount is sent to a first compute device that is from the plurality of first compute devices and that is associated with a group wager, the electronic payment amount being based on the wager amount of that group wager.