Event-Driven AI Gaming Content Personalization With Self-Learning Agents
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Solution Overview
Problem
Conventional intelligent agents in gaming systems lack the ability to evolve and adapt to individual player preferences, leading to suboptimal gaming experiences and computational inefficiencies in processing real-time data for personalized content generation.
Innovation Solution
A self-evolving AI-based content generative model that detects content generation events, generates prompts from player preferences, receives and selects content for presentation, and optimizes presentation operations using machine learning models to enhance player engagement and system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional intelligent agents are used in gaming systems, then system simplicity is maintained, but the ability to evolve and adapt to individual player preferences is lost
Solution Approach 1:
The patent implements dynamic evolution of intelligent agents through continuous learning from player interactions. The agents transition from static conventional algorithms to dynamic systems that adapt their behavior patterns based on real-time player preference data, enabling personalized content generation while managing complexity through incremental adaptation
Solution Approach 2:
The intelligent agents perform self-learning and self-evolution by automatically analyzing player interactions and improving their own algorithms without external intervention. This self-service mechanism allows the system to adapt to player preferences autonomously, reducing the need for manual system reconfiguration and complex external control structures
2Productivity
If real-time data processing for personalized content generation is implemented, then player engagement is improved, but computational overhead increases
Solution Approach 1:
The system performs preliminary processing by pre-analyzing player preference patterns and caching generated content templates before actual gameplay sessions. This advance preparation reduces real-time computational requirements while maintaining personalized content generation capability, thereby improving player engagement without proportional increases in computational overhead
Solution Approach 2:
The patent implements localized processing by generating personalized content only for specific game modules or content types based on detected player preferences, rather than processing all game data uniformly. This selective approach concentrates computational resources on high-impact personalized elements, improving engagement while optimizing energy usage
3Adaptability or versatility
If AI-generated content is integrated into gaming devices, then content personalization is enhanced, but security risks from malicious content increase
Solution Approach 1:
The patent introduces intermediary security layers between the AI content generation system and the gaming device output. These intermediary components include content filtering mechanisms and security validation protocols that inspect generated content before deployment, blocking malicious elements while preserving personalized content delivery to players
4Productivity
If self-evolving AI models are deployed, then long-term system performance is improved, but short-term system stability decreases
Solution Approach 1:
The system implements periodic evaluation cycles where AI model changes are tested and validated before full deployment. This periodic approach allows controlled evolution of the self-evolving models, maintaining system stability by incrementally integrating performance improvements while monitoring for adverse effects
Data Source
AI summary
The present disclosure relates generally to a gaming system, device, and method that in response to the detected content generation event, generate from a set of content preferences associated with a player, and send a prompt to a generative model; select at least a portion of the received content for presentation by a gaming device; and cause the received content to be presented by the gaming device to the player.