Connected Car Event Deletion Using Multi-Agent Voting
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Solution Overview
Problem
In connected car computing environments, there is a lack of efficient mechanisms for deleting events such as hazards or obstacles once they are no longer relevant, leading to clutter in data stores and system caches.
Innovation Solution
A method and system where a computational device employs event deletion managers and deletion determination agents to determine whether to delete events based on majority or supermajority voting, using various deletion methods like rules, delegation confirmations, and time decay models, with the option to apply relaxed criteria for timely decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If events are retained in data stores and system caches for extended periods, then more historical data is available for analysis, but data storage clutter increases and system efficiency decreases
Solution Approach 1:
The system changes the parameter of event retention by implementing dynamic deletion based on multiple factors including event age, relevance to current navigation, vehicle context, and environmental conditions. Events are not deleted based on a fixed time threshold but through a multi-agent evaluation system that adjusts retention parameters dynamically.
Solution Approach 2:
The patent implements a dynamic event deletion system where multiple deletion determination agents continuously evaluate whether events should be retained or deleted. The system adapts to changing conditions such as vehicle location, navigation context, and event relevance, making the data retention policy flexible rather than static.
2Reliability
If multiple deletion determination agents are used to evaluate event deletion, then deletion accuracy improves, but computational complexity increases
Solution Approach 1:
The system segments the deletion decision-making process into multiple independent agents, each responsible for evaluating specific aspects of event deletion criteria. This segmentation allows for specialized evaluation of different factors (event age, relevance, vehicle context) while maintaining overall system coordination through the event deletion manager.
Solution Approach 2:
The patent merges the decisions of multiple deletion determination agents through a voting mechanism coordinated by an event deletion manager. The agents' individual evaluations are combined to reach a consensus deletion decision, balancing the need for accurate multi-factor evaluation with coordinated system operation.
3Manufacturing precision
If events are deleted based on strict criteria, then data quality is maintained, but more events are deleted prematurely
Solution Approach 1:
The system applies partial deletion action by requiring a threshold number of agents to agree on deletion before an event is actually removed. This prevents premature deletion by ensuring that deletion decisions are made only when sufficient evidence from multiple agents supports the deletion, while still allowing deletion of clearly irrelevant events.
Data Source
AI summary
A computational device maintains indications of a plurality of events associated with navigation of a plurality of vehicles in a geographical area. A determination is made as to whether to delete an event from the plurality of events, by performing: transmitting, by an event deletion manager, a query to a plurality of deletion determination agents on whether to delete the event; receiving, by the event deletion manager, an indication from the plurality of deletion determination agents whether to delete the event; and aggregating, by the event deletion manager, indications received from the plurality of deletion determination agents to determine whether to delete the event.