AI Action Control with Active Fuzzy Subsets for Smooth Output
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Solution Overview
Problem
Existing artificial intelligence control methods using discrete decisions struggle to ensure smooth control over AI devices, leading to poor action smoothness.
Innovation Solution
An action control method that obtains N-dimensional states of AI devices, uses active fuzzy subsets and a control model to generate continuous decisions through weighted summation based on membership degrees, ensuring smooth control by converting discrete decisions into continuous outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If discrete decisions are used to control AI device actions, then the control model can output clear decisions, but the action smoothness deteriorates
Solution Approach 1:
The patent transforms the discrete decision output into a continuous decision by changing the parameter type from discrete to continuous. This is achieved by introducing membership degrees as continuous parameters that weight multiple discrete decisions, resulting in a continuous output that maintains decision accuracy while improving action smoothness
Solution Approach 2:
The patent introduces membership degrees as an intermediary element between the discrete decisions and the final control output. These membership degrees serve as weighting factors that smoothly combine multiple discrete decisions into a continuous decision, acting as a mediator that preserves the clarity of discrete decisions while achieving smooth continuous output
Data Source
AI summary
An action control method and apparatus related to the field of artificial intelligence, where the method includes obtaining states of N dimensions of an artificial intelligence device, obtaining a plurality of discrete decisions based on an active fuzzy subset and a control model that are of a state of each of the N dimensions, where an active fuzzy subset of a state is a fuzzy subset whose membership degree of the state is not zero, the membership degree is used to indicate a degree that the state belongs to the fuzzy subset, performing, based on a membership degree between a state and an active fuzzy subset that are of each dimension, weighted summation on the plurality of discrete decisions, to obtain a continuous decision, and controlling, based on the continuous decision, the artificial intelligence device to execute a corresponding action.