Game Feature Persistence via Multi-Criteria Evaluation Structures
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Solution Overview
Problem
Current gaming systems lack a method to dynamically evaluate game outcomes against multiple criteria, leading to inefficient payout calculations and feature attribute modifications, which restricts the potential for enhanced player rewards and game features.
Innovation Solution
A method that evaluates game outcomes against a plurality of evaluation structures, modifies feature attributes based on fulfillment of payout and feature criteria, and applies these modifications to calculate subsequent payout values, allowing for persistent feature attribute changes and enhanced player rewards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If game outcomes are evaluated against multiple evaluation structures with different criteria, then the versatility and adaptability of the gaming system is improved, but the complexity of the evaluation and payout calculation process increases
Solution Approach 1:
The evaluation process is segmented into multiple independent evaluation structures, each with its own set of criteria (payout criteria and feature criteria). Each evaluation structure operates independently to assess different aspects of the game outcome, allowing the system to handle complex multi-criteria evaluation by breaking it down into manageable segments rather than a monolithic complex process
Solution Approach 2:
The system implements a universal evaluation framework that can accommodate multiple evaluation structures with different criteria sets. The same core evaluation mechanism can be applied across different game features and outcomes, making the system multi-functional and adaptable without requiring separate specialized evaluation processes for each game scenario
2Adaptability or versatility
If feature attributes are modified and persisted across multiple game outcomes, then the engagement and variability of the game is improved, but the complexity of tracking and managing attribute modifications increases
Solution Approach 1:
The system implements feedback mechanisms where game outcomes are evaluated against feature criteria, and the results feed back into modifying feature attributes. These modified attributes then influence subsequent game outcomes, creating a dynamic feedback loop that enhances game variability and engagement while systematically managing attribute tracking through structured evaluation and modification cycles
3Measurement precision
If multiple evaluation structures are used to evaluate game outcomes, then the precision and accuracy of payout calculations is improved, but the time required for evaluation and payout calculation increases
Solution Approach 1:
The system performs preliminary evaluation of game outcomes against multiple evaluation structures in parallel, preparing payout calculations in advance. By structuring the evaluation process to assess different criteria simultaneously rather than sequentially, the system achieves high precision in payout calculations while minimizing the time required for evaluation
Data Source
AI summary
Embodiments of the present invention provide methods, systems and programs for conducting game feature. A method comprises: a) upon generation of a game outcome, evaluating the game outcome according to a plurality of evaluation structures against a payout criteria set and a feature criteria set; b) for each evaluation of an evaluation structure that fulfills a payout criterion, calculating a payout value according to a feature attribute associated with said evaluation structure; c) for each evaluation structure having an associated feature attribute and that fulfills a feature criterion, modifying said feature attribute, said modified feature attribute persisting for calculating the payout value of at least one subsequent game outcome; and d) awarding the sum of the calculated payout values of all of the evaluation structures to a player. An embodiment involves a free-spin feature in which the feature attributes are multiplier values evolving and persisting throughout the free-spin feature.


