Future Prediction Simulation Accuracy via Dynamic Basis Updates
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Solution Overview
Problem
Future prediction simulation apparatuses often lack accuracy due to outdated mathematics expressions and operand numerical values, especially when predicting long-term or distant future events, as they fail to account for changes in external environments, leading to significant deviations from reality.
Innovation Solution
Incorporating a system that records and updates the underlying 'basis' or hypothesis used to create these expressions and values, with a mechanism to collect related information and alert users when corrections are needed, ensuring timely adjustments to maintain accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If future prediction simulation is performed using fixed mathematics expressions and operand numerical values, then the simulation can be executed efficiently, but the accuracy deteriorates over time due to changes in external environment
Solution Approach 1:
The patent implements dynamic updating of mathematics expressions and operand numerical values based on changes in external environment. The system periodically retrieves latest information from information sources and updates simulation parameters accordingly, transforming the static simulation model into a dynamic one that adapts to environmental changes while maintaining execution efficiency
Solution Approach 2:
The patent establishes a feedback mechanism where simulation results are compared with actual future outcomes, and the difference (deviation) is used to correct and update the mathematics expressions and operand numerical values. This closed-loop feedback system continuously improves prediction accuracy by learning from past deviations and adjusting parameters for future simulations
2Measurement precision
If mathematics expressions and operand numerical values are updated frequently to maintain accuracy, then prediction accuracy improves, but the complexity of the system increases
Solution Approach 1:
The patent performs preliminary actions by pre-establishing information sources and update rules before simulation execution. The system pre-defines which parameters should be updated, from which information sources, and with what frequency, thereby simplifying the actual simulation process while maintaining high accuracy through proactive parameter updates
Solution Approach 2:
The patent implements self-service mechanisms where the simulation system automatically retrieves latest information, updates its own parameters, and corrects deviations without requiring manual intervention. The system serves itself by autonomously maintaining its accuracy through automated information retrieval, parameter updating, and deviation correction processes
3Ease of operation
If correction of mathematics expressions and operand numerical values is delayed until significant deviation occurs, then the system remains simple to operate, but the prediction accuracy deteriorates significantly
Solution Approach 1:
The patent performs preliminary corrections by proactively updating parameters before significant deviations occur. The system periodically retrieves latest information and makes preventive adjustments to mathematics expressions and operand numerical values, thereby maintaining high accuracy while requiring minimal operational intervention from users
Data Source
AI summary
To improve a future prediction simulation technology in order to more accurately predict the future by enabling a mathematics expression and an operand numerical value to be appropriately corrected, a server executes, as a future prediction simulation apparatus, a future prediction simulation by using mathematics expression data and operand numerical data for specifying a mathematics expression and an operand numerical value, which are recorded in a server recorder and which are to be used in the future prediction simulation. The server includes an interpreting unit, a related information collecting unit, and a determining unit. The interpreting unit reads from the server recorder basis data, which is text data for specifying the basis used by the user to determine the mathematics expression and the operand numerical value, and generates interpretation data. The related information collecting unit collects related information related to the basis data by crawling the Internet using the interpretation data. When related information is found, the determining unit generates alert data.