Cognitive decision-making method and system based on multi-dimensional situation coding

By using a multidimensional situation coding method, the input data is transformed into a six-dimensional external polar field. The decision-making path is planned using energy evolution and situation coding library, which solves the problems of interpretability and autonomous decision-making in artificial intelligence systems and realizes an efficient and interpretable cognitive decision-making process.

CN122334501APending Publication Date: 2026-07-03PUTIAN ZIXU LIFE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610506445.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-16
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing artificial intelligence systems suffer from poor interpretability, lack of a unified situational coding framework, inability to autonomously plan evolution paths, and knowledge rigidity in the decision-making process, making it difficult to establish user trust in high-reliability scenarios.

Method used

A multidimensional situation coding method is adopted to transform the input data into a six-dimensional external polar field. The energy vector convergence is driven by an energy evolution engine, the situation coding library is used to match the situation type, and the evolution path is planned based on intrinsic value assessment. The mapping relationship is optimized by combining an online self-evolution mechanism.

Benefits of technology

It achieves endogenous interpretability of system state, unified situation coding framework, autonomous planning capability and online self-evolution capability. The decision-making process is clear and explicit, with inherent consistency and robustness, and is suitable for resource-constrained edge devices.

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Abstract

The invention discloses a cognitive decision-making method and system based on multi-dimensional situation coding, and belongs to the technical field of artificial intelligence and cognitive computing. The method comprises the following steps: acquiring input data, converting the input data into an event sequence, and further generating a six-dimensional external polarity field; driving the six-dimensional energy vector to converge from an initial neutral state to a stable state under the action of the energy evolution equation; binarizing the converged energy vector, matching the energy vector with a situation coding library, and determining a current situation type; generating structured description and action suggestions of the current situation; selecting a target situation type based on the situation value weight and planning an evolution path; and outputting the cognitive decision report. According to the method, an event is taken as a native cognitive unit, the event unit can be a character, a word, a phrase, a sentence or any combination thereof, and through a six-dimensional complete situation space and an energy dynamics emergence mechanism, endogenous interpretability, a unified situation coding framework, an autonomous planning ability based on internal value and an online self-evolution ability are provided for a cognitive system; the method can be widely applied to scenes such as intelligent decision support and complex system situation assessment.
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