Gaming Offer Component Accumulation with Elimination Risk
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Solution Overview
Problem
Current gaming systems lack an engaging offer and acceptance game mechanism that allows players to weigh risks and accumulate awards effectively, as they do not provide sufficient variability in player decisions that impact total award amounts.
Innovation Solution
The gaming system introduces a series of offer component accumulations where players can accept or reject offers, with the option to risk existing awards for potentially higher rewards, incorporating random assignment and elimination of offer components to create strategic decision-making opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the player rejects an offer to accumulate additional offer components, then the potential award amount increases, but the risk of eliminating previously accumulated offer components increases
Solution Approach 1:
The offer components are dynamically assigned to position sets through random assignment mechanisms. The system transitions from a static offer structure to a dynamic one where offer components can be reassigned, eliminated, or retained based on random events, creating uncertainty and strategic decision-making opportunities for the player.
Solution Approach 2:
The system changes the state of offer components through random assignment and elimination events. Offer components can be transferred between position sets, eliminated entirely, or retained, altering the potential award parameters based on random outcomes rather than fixed rules.
2Adaptability or versatility
If the gaming system provides multiple offer component position sets with random assignment, then player engagement and strategic decision-making improve, but the device complexity increases
Solution Approach 1:
The offer component management system is segmented into multiple independent position sets. Each position set can independently receive, retain, or eliminate offer components through random assignment events, allowing the system to manage complexity through modular organization rather than a monolithic structure.
Solution Approach 2:
The system uses random assignment mechanisms that automatically distribute offer components to position sets without requiring player intervention in the assignment process. The random assignment events autonomously manage the complexity of component distribution, reducing the burden on the player while maintaining strategic decision-making opportunities.
Data Source
AI summary
A gaming system including an offer and acceptance game including a series of offer component accumulations. One or more accumulated offer components are associated with one or more award values which form different offers for acceptance or rejection. One or more of such offer component accumulations are also associated with an elimination of one or more of any previously accumulated offer components. Such a configuration provides that when deciding whether to accept an offer (including the currently accumulated, non-eliminated offer components) or reject the offer and accumulate additional offer components, a player weighs the risks of eliminating one or more previously accumulated offer components.