AI Expert System for Privacy-Preserving Multicast Filtering
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently disseminating information to mobile users while protecting user privacy and minimizing cognitive distraction, particularly in multicast communications where precise location disclosure is often required.
Innovation Solution
Implementing an artificial intelligence-based expert system in mobile devices that uses fuzzy logic to process and filter information without requiring users to disclose their location, allowing for efficient information dissemination and minimizing cognitive distraction through advisory actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If precise location disclosure is required for multicast communications, then information dissemination efficiency is improved, but user privacy is compromised
Solution Approach 1:
The patent introduces an expert system as an intermediary between the user and the multicast communication system. This expert system processes location information locally on the mobile device, determining whether to disclose location data based on user preferences and contextual factors. The expert system acts as a mediator that enables efficient information dissemination while protecting user privacy by making intelligent decisions about location disclosure without requiring direct user intervention or complete location transparency.
2Measurement precision
If manual attention is required for information processing, then information accuracy is improved, but cognitive distraction increases
Solution Approach 1:
The patent implements an expert system that operates autonomously on the mobile device, performing information processing tasks without requiring continuous manual user intervention. The system automatically evaluates incoming information, compares it against user preferences stored in the knowledge base, and filters results based on relevance. This self-service capability maintains information accuracy through intelligent processing while eliminating cognitive distraction by reducing the need for manual attention and user decision-making in real-time.
Solution Approach 2:
The expert system performs preliminary processing and filtering of information before presenting it to the user. By pre-evaluating information relevance, pre-comparing against user preferences, and pre-filtering based on contextual factors, the system ensures accurate information delivery while minimizing the cognitive load on the user during actual information consumption.
3Adaptability or versatility
If AI expert system is implemented in mobile devices, then information filtering capability is improved, but device complexity increases
Solution Approach 1:
The patent segments the information processing function by implementing an expert system as a separate, modular component within the mobile device. The expert system is structured with distinct modules: a knowledge base for storing user preferences, an inference engine for logical reasoning, and a decision-making component for filtering information. This segmentation allows the complex AI functionality to be added without overwhelming the overall device architecture, enabling independent development, testing, and optimization of the information filtering capability while maintaining clarity in the overall system design.
Data Source
AI summary
Multicast expert system information dissemination systems and methods making use of artificial intelligence are provided. The systems and methods include a wireless device for receiving RF multicast information messages from a content provider wherein said information is descriptive of objects potentially of interest to users of the device. Received multicast messages may include information parameters about objects of potentially interest to the user. The wireless device also includes a knowledge base prestored in the wireless device descriptive of the user's level of interest in various objects. Artificial intelligence expert system control is used to evaluate a combination of the user's level of interest in the object information and distance from the user to the location where the object may be obtained. The artificial intelligence expert system derives a user advisory action index. In one embodiment the artificial intelligence may be implemented using fuzzy logic inference engine apparatus.