AI Decision Flow Context Capture for Paused Resumption
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Solution Overview
Problem
Complex AI-based decision flows often require human supervision or input, leading to delays and inefficiencies in the decision-making process, particularly when dealing with missing or conflicted data points.
Innovation Solution
A computing environment that remembers and recalls the context of AI-based decision flows, allowing for the identification of logical points where decision flows can be paused and resumed efficiently, and incorporating mechanisms to resolve missing or conflicted data points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AI systems wait for human input or coordination to complete decision flows, then decision accuracy and completeness are improved, but decision speed and productivity deteriorate
Solution Approach 1:
The system performs preliminary actions by capturing and storing context information at logical points before pausing the decision flow. This allows the system to have ready-to-use context when resuming, eliminating the need to reprocess information and maintaining both accuracy and speed.
Solution Approach 2:
The patent introduces an intermediary context capture mechanism that acts as a buffer between human input and the AI decision flow. The context capture module stores intermediate results and logical points, allowing the system to resume processing without waiting for human input while maintaining decision accuracy through stored context.
2Measurement precision
If the system captures and stores complete context information for paused decision flows, then resumption accuracy is improved, but memory usage and system complexity increase
Solution Approach 1:
The system extracts only the essential context information needed for resumption at each logical point, rather than storing complete decision flow data. This selective extraction maintains context accuracy while reducing memory usage and system complexity by capturing only critical decision states and logical points.
Solution Approach 2:
The context capture is segmented into discrete logical points within the decision flow, where context is captured at specific decision boundaries rather than continuously. This segmentation reduces overall memory requirements while maintaining the precision needed for accurate resumption at each segment boundary.
3Reliability
If the system processes all decision flow information from the beginning when resuming, then decision completeness is ensured, but processing time and energy consumption increase
Solution Approach 1:
The system performs preliminary processing by capturing and storing intermediate decision results at logical points before pausing. When resuming, the system leverages these pre-processed results rather than reprocessing all information from the beginning, ensuring decision completeness while significantly reducing energy consumption.
Solution Approach 2:
The patent enables continuity of useful action by maintaining stored context information that allows the decision flow to resume seamlessly from the logical point. This continuous processing approach avoids redundant computation while ensuring all necessary decision steps are completed, reducing overall energy consumption.
Data Source
AI summary
There is a disclosed computing environment having an AI based decision flow system capable of remembering and recalling context of AI based decision flows. The AI based decision flow system in response to a user making a request through a user interface performs via one or more processors, decision flows by processing a series of decision-making execution steps of code or logic to predict outcomes and make the predicted outcomes available to the user via the user interface. The system captures the context of paused decision flows and determines from the context captured one or more logical points from which an associated paused decision flow may be resumed. The logical points are stored in memory and recalled from memory when inputs are present that permit the associated paused decision flow to continue.