Auto-Hold Recommendation Logic for Progressive Poker Awards
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Solution Overview
Problem
Existing video poker gaming systems fail to optimize card holding recommendations when progressive awards for lower ranked winning hands exceed those of higher ranked hands, leading to suboptimal gameplay strategies.
Innovation Solution
A gaming system that takes into account multiple progressive awards to determine the optimal cards to hold from an initial hand, calculating expected values based on the current amounts of progressive awards to recommend cards that could lead to the highest award, regardless of the winning hand category rank.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the auto-hold feature recommends cards based on traditional hand ranking only, then the recommendation system is simple and fast, but the expected value is suboptimal when progressive awards for lower ranked hands exceed higher ranked hands
Solution Approach 1:
The system dynamically adjusts the expected value calculation by incorporating real-time progressive award amounts into the recommendation algorithm. Instead of using static hand ranking alone, the system continuously updates recommendations based on current progressive award values, allowing the optimal holding strategy to adapt as award amounts change during gameplay
Solution Approach 2:
The system changes the parameters used in expected value calculation from traditional hand ranking only to a composite parameter that includes both hand ranking and progressive award amounts. This allows the recommendation system to account for situations where lower ranked hands with higher progressive awards should be prioritized over higher ranked hands with lower or no progressive awards
2Reliability
If the system calculates expected value considering all progressive award amounts, then the recommendation optimality is improved, but the calculation time and processing load increase
Solution Approach 1:
The system performs preliminary calculations by pre-determining the relative value rankings of different hand categories based on current progressive award amounts. This preliminary ranking structure is established before the player needs to make a decision, allowing the system to quickly retrieve and present recommendations without performing full expected value calculations in real-time
Solution Approach 2:
The system uses a simplified model or lookup table that copies the essential relationships between hand rankings and progressive award values. Instead of calculating full expected values for all possible outcomes, the system uses pre-computed data structures that replicate the decision logic, enabling fast recommendations while maintaining accuracy
3Ease of manufacture
If the auto-hold feature only considers highest ranked winning hands, then the system is easy to implement, but it fails to recommend optimal cards when lower ranked hands have higher progressive awards
Solution Approach 1:
The system implements a universal expected value calculation framework that can handle both traditional hand ranking scenarios and progressive award scenarios. The same core algorithm adapts to different game configurations by incorporating the appropriate parameters, making the system equally effective for games with only ranked hands, only progressive awards, or a combination of both
Solution Approach 2:
The system incorporates feedback from progressive award amounts into the recommendation process. By continuously monitoring progressive award values and feeding this information back into the expected value calculation, the system adjusts its recommendations to reflect current game state, ensuring optimal strategy even when lower ranked hands offer higher rewards
Data Source
AI summary
The present disclosure relates to a gaming system and method providing a draw poker game with auto-hold functionality that takes multiple progressive awards into account and recommends the optimal cards to hold from an initial hand. The draw poker game includes different winning outcomes, different awards associated with the different winning outcomes, and includes a first progressive award associated with a first one of the outcomes and a second progressive award associated with a second one of the outcomes. For each play of the draw poker game, the gaming system displays a first auto-hold recommendation if the first progressive award is greater than the second progressive award, and the gaming system displays a second different auto-hold recommendation if the second progressive award is greater than the first progressive award.