Gaming Grid Cluster Persistence for Randomized Payout Control
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Solution Overview
Problem
Existing online gaming systems lack sufficient randomness and methods to balance player attraction with operator control over payouts, necessitating a need for innovative game scenarios that enhance player engagement while maintaining payout control.
Innovation Solution
A gaming system that generates a table with predefined elements, matches clusters of adjacently arranged cells, and initiates an award procedure with clusters remaining in position for a predetermined series of games, allowing for increased randomization and player engagement through nonlinear repopulation of cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If unexpected scenarios are introduced to increase player attraction and potential payouts, then player engagement and winning possibilities improve, but operator control over payouts becomes more difficult
Solution Approach 1:
The system pre-generates multiple sets of game elements and stores them in advance. When a winning cluster is formed, the system selectively preserves these pre-generated elements across consecutive games rather than generating new random elements each time. This preliminary preparation allows the system to control payout outcomes while maintaining the appearance of randomness, as the preserved elements are predetermined but not obviously manipulated.
Solution Approach 2:
The system dynamically changes the parameter of element persistence across games. Specifically, when a cluster match occurs, the system alters the normally transient nature of game elements by making them persistent for a predetermined number of consecutive games. This parameter change creates unexpected scenarios that increase player engagement while the persistence duration is controlled to manage payout boundaries.
2Device complexity
If game elements are completely randomized each game, then operator control over payouts is maintained, but player attraction and engagement decrease
Solution Approach 1:
The system applies different quality treatment to different portions of the game element set. Specifically, elements belonging to winning clusters are given special quality (persistence across games) while other elements maintain normal randomness. This local differentiation creates zones of controlled outcomes within the broader random game structure, enhancing player engagement in specific areas while maintaining overall payout control.
3Adaptability or versatility
If clusters remain in position for multiple consecutive games, then winning possibilities and player attraction increase, but the randomness of the game decreases
Solution Approach 1:
The system segments the game board into distinct regions: persistent cluster regions where matched elements remain, and new generation regions where random elements are continuously created. This segmentation allows the game to simultaneously maintain controlled winning opportunities in persistent regions while preserving randomness in new generation regions, balancing player attraction with game integrity.
Data Source
AI summary
The present disclosure relates to a computer implemented method performed by a gaming system. In particular, the present disclosure relates to a scheme for further improving a randomness in a game provided by means of the gaming system. The present disclosure also relates to a corresponding gaming system and a computer program product.