AI Audible Content Generation With Layered Cognitive Architecture
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Solution Overview
Problem
Existing gaming and entertainment systems face issues with interoperability among inconsistent and proprietary components, lack of adaptability, high transaction costs, and challenges in addressing problem gambling, particularly in the transition from brick-and-mortar to online environments.
Innovation Solution
A program-defined entertainment state system (PD-ESS) utilizing cognitive computing, machine learning, and blockchain technology to create a decentralized system that monitors user responses, adapts to stimuli, and implements smart contracts for dynamic game mechanics and lottery systems, incorporating AI-driven analytics for responsible gaming control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized control systems are used for gaming and entertainment, then system reliability and regulatory compliance are improved, but system complexity and transaction costs increase
Solution Approach 1:
The patent segments the centralized control system into distributed autonomous agents operating on a blockchain network. Each agent independently manages gaming operations, regulatory compliance, and transactions, eliminating the need for a single complex centralized control system while maintaining reliability through distributed consensus mechanisms.
Solution Approach 2:
The system enables self-service through smart contracts that automatically execute gaming rules, regulatory compliance checks, and transaction processing. The autonomous agents monitor and enforce regulations independently, reducing the need for complex human-operated control systems while maintaining high reliability standards.
2Adaptability or versatility
If proprietary components are used in gaming systems, then system adaptability and customization are improved, but interoperability among different systems deteriorates
Solution Approach 1:
The patent implements a universal blockchain-based platform that supports multiple gaming systems and components through standardized interfaces. The decentralized architecture provides a common communication protocol and data standard that enables different proprietary systems to interoperate seamlessly, maintaining adaptability while eliminating interoperability barriers.
Solution Approach 2:
The blockchain serves as an intermediary layer between different gaming systems and components. Smart contracts act as mediators that translate and coordinate between different proprietary systems, enabling them to work together without requiring direct compatibility. This intermediary layer resolves interoperability issues while preserving the adaptability of individual systems.
3Reliability
If traditional lottery systems are used, then regulatory compliance is improved, but transaction costs and processing time increase
Solution Approach 1:
The patent implements continuous automated monitoring and verification of lottery operations through blockchain transactions. The system continuously validates random number generation, prize distribution, and regulatory compliance without interruption, eliminating processing delays while maintaining strict regulatory oversight through transparent, real-time recording.
Solution Approach 2:
The system replaces traditional mechanical lottery operations with automated smart contract execution on the blockchain. Regulatory compliance checks that previously required manual review are automatically performed through programmed rules, significantly reducing processing time while maintaining or enhancing regulatory oversight through immutable, transparent records.
4Object-affected harmful factors
If AI monitoring systems are added to detect problem gambling, then responsible gaming control is improved, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where AI systems continuously monitor gaming behavior patterns and provide real-time alerts to both players and regulators. The system automatically adjusts game parameters or triggers intervention protocols based on detected problematic behavior, maintaining responsible gaming control through automated feedback loops without requiring overly complex manual intervention systems.
Data Source
AI summary
Systems and methods are provided for training an artificial intelligence system and generating audible content for output. The method utilizing a system including at least an application plane layer, a control plane layer including a cognitive computing unit, the cognitive computing unit using at least machine learning for training of the cognitive computing unit, a training input to the system including an input for receiving content for training during the machine learning, and a data plane layer, the data plane layer including an input interface to receive and store data input content from one or more data sources other than the control plane layer, the data input content being subject to transformation into audible content for output. Data input content information is used in synthesizing audible output content at least in part by transforming the data input content into the audible output content.