AI Playstyle Models for Dynamic Auto Play in Gaming Systems
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Solution Overview
Problem
Existing gaming systems have static auto play modes that lack variety and fail to adapt to player behavior, leading to unexciting gameplay experiences and reduced revenue potential.
Innovation Solution
A gaming system that utilizes AI-based playstyle models to dynamically generate and apply enhanced auto play modes, allowing for personalized and adaptive gameplay by analyzing previous gameplay decisions and behaviors to provide automated player inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If static auto play modes are used, then automation is provided, but gameplay variety and player engagement deteriorate
Solution Approach 1:
The patent implements dynamic auto play modes that adapt to player behavior and preferences. The system transitions from static, pre-programmed auto play sequences to dynamic modes that continuously adjust gameplay parameters based on real-time player responses, creating variety while maintaining automation.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor player interactions and use this information to adjust auto play behavior. By analyzing player decisions and responses, the system modifies subsequent auto play sequences to maintain engagement and variety, resolving the contradiction between automation and gameplay variety.
2Ease of operation
If static auto play modes are used, then operational simplicity is improved, but player excitement and revenue potential worsen
Solution Approach 1:
The system enables the gaming machine to automatically analyze player behavior and self-adjust auto play modes without requiring manual configuration. This maintains operational simplicity while improving player excitement and revenue potential through intelligent, adaptive gameplay sequences.
Solution Approach 2:
The patent dynamically changes gameplay parameters such as spin speed, bet amounts, and game selection based on player responses. These parameter adjustments occur automatically within the auto play mode, maintaining ease of operation while significantly enhancing player excitement and revenue potential.
3Adaptability or versatility
If AI-based playstyle models are implemented, then gameplay personalization is improved, but system complexity increases
Solution Approach 1:
The patent introduces AI-based playstyle models as intermediary components that bridge player behavior and auto play mode selection. These models analyze player decisions and translate them into appropriate gameplay adjustments, enabling personalization while managing system complexity through modular architecture.
Solution Approach 2:
The system replaces traditional mechanical or rule-based auto play mechanisms with AI-based playstyle models. This substitution enables sophisticated gameplay personalization by using machine learning algorithms to analyze and adapt to player behavior, achieving high adaptability without proportionally increasing physical or operational complexity.
Data Source
AI summary
The present disclosure relates generally to a gaming system, device, and method supportive of an enhanced electronic gaming machine auto play mode. A gaming system, device, and method are provided that identify data associated with a set of previous gameplay sessions, the data including a set of previous gameplay decisions associated with the set of previous gameplay sessions; generate a set of playstyle models based on the set of previous gameplay decisions; and enable a gameplay mode in which a playstyle model of the set of playstyle models may be utilized to provide automated player inputs to a gameplay session.