TALP Software Enhancement Using Predictive Feedback Loops
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Solution Overview
Problem
Existing software systems lack efficient methods to automatically extend functionality without sacrificing processing performance, necessitating the use of non-software personnel for software creation, update, and repair, which is inefficient and costly.
Innovation Solution
The Multiple Time-Affecting Linear Pathway (TALP) family enhancement and management system uses feedback and feedforward loops with historical, real-time, and predicted output data to optimize pooled TALP output data, converting algorithms and software codes into TALPs, and merging them with enhancement TALPs to enhance or meet user goals, utilizing a three-engine system for optimizing Credit Enhanced Temporally Sequenced Securities (CETSS) and finance data with multiple asset data in a portfolio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software systems manually extend functionality through traditional software engineering processes, then software can be created, updated, and repaired, but processing performance is sacrificed and the process becomes inefficient and costly requiring non-software personnel
Solution Approach 1:
The patent replaces traditional mechanical software engineering processes with an automated algorithmic system that uses machine learning models to generate, validate, and integrate software code extensions automatically, eliminating manual intervention while maintaining processing performance
Solution Approach 2:
The system enables software to self-extend functionality through automated code generation and integration processes that do not require external software engineers, allowing the system to serve its own enhancement needs independently
2Adaptability or versatility
If non-software engineering personnel are used to meet software creation, update, and repair needs, then software development can continue, but efficiency decreases and costs increase
Solution Approach 1:
The patent introduces an automated code generation and validation system as an intermediary between non-software personnel and software development tasks, allowing individuals without specialized training to initiate software enhancements while the system handles the complex technical implementation
3Adaptability or versatility
If traditional software methods are used for creation, update, and repair, then software functionality can be extended, but processing performance is sacrificed
Solution Approach 1:
The system dynamically adjusts between different code generation and integration strategies based on the specific enhancement task, selecting approaches that maintain processing performance while achieving the desired functionality extension
Data Source
AI summary
Systems and methods of software enhancement and management can comprise inputting one or more data transformation algorithms representing asset data, decomposing the one or more data transformation algorithms into a plurality of TALPs, executing the plurality of TALPs to generate at least one or more value complexity prediction polynomials, simulating one or more investment data units and external stored data to generate a simulated data output based at least on the one or more value complexity prediction polynomials, executing a TALP control engine using predictive analytics and at least the simulated data output to create temporally sequenced TALP output data, pooling the temporally sequenced TALP output data, modeling predictive outcomes based at least on the pooled temporally sequenced TALP output data merged with external unoptimized context data via a feedback loop over time, and outputting optimized and discretized data based on the modeled predictive outcomes.