Natural Language Programming System for Dynamic Logic Adaptation

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Solution Overview

Problem

Current natural language processing systems require manual programming and are limited in handling unexpected situations or errors, as they need pre-defined logic to function correctly, which restricts user interaction and adaptability.

Innovation Solution

Implementing a system that uses natural language understanding, knowledge representation, and advanced compiler techniques to enable users to program and debug computers using natural language, allowing the system to learn and adapt during runtime by fetching and implementing logic dynamically, including edge cases and exceptions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional programming languages (Java, Python) are used to program new functions, then the system can perform desired functions, but the ease of operation deteriorates due to high learning curve and programming expertise requirements

Engineering Contradiction:

ImprovefunctionalityVSAvoidprogramming difficulty

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent replaces traditional mechanical programming interfaces (code editors, syntax-based languages) with a natural language processing system. Users can program new functions by speaking or typing in natural language instead of writing code in Java or Python, eliminating the need for programming expertise while maintaining full functionality.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a natural language interface as an intermediary between the user and the programming system. This intermediary translates natural language commands into executable code, allowing users to interact with the system using everyday language rather than requiring direct knowledge of programming languages.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If pre-defined logic is used in natural language processing systems, then the system can execute instructions, but the adaptability deteriorates when handling unexpected situations or errors not covered by pre-programmed logic

Engineering Contradiction:

Improvesystem executionVSAvoidhandling unexpected situations

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent makes the system dynamic by allowing it to learn and adapt during runtime. When encountering unexpected situations or errors, the system can dynamically generate new logic and functions rather than relying solely on pre-defined behavior, enabling it to handle novel scenarios while maintaining ease of execution for routine tasks.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent enables the system to serve itself by automatically learning from errors and unexpected situations. The system can identify patterns in failures, generate corrective logic, and improve its own functionality without external intervention, combining the reliability of pre-defined logic with the flexibility of adaptive learning.

Inventive Principle:

Principle #25Self-service

3Reliability

If manual programming effort is required to add new functions, then the system maintains reliability through controlled code changes, but the productivity deteriorates due to significant time and effort required

Engineering Contradiction:

Improvecode controlVSAvoidfunction development speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent implements feedback mechanisms where the system monitors its own performance, identifies errors and unexpected situations, and uses this information to automatically generate and refine new functions. This closed-loop approach maintains reliability through systematic validation while dramatically improving productivity by eliminating manual programming cycles.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent performs preliminary actions by pre-processing natural language commands, validating intended functionality, and generating candidate code before execution. This preliminary validation maintains reliability by catching errors early, while the automated generation process significantly speeds up function development compared to manual programming.

Inventive Principle:

Principle #10Preliminary action

4Ease of operation

If non-programmer tools (drag-drop consoles) are used to create new behaviors, then the ease of operation improves for non-programmers, but the device complexity increases due to visual workflow representation requirements

Engineering Contradiction:

Improvenon-programmer accessibilityVSAvoidvisual programming interface

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces complex visual programming interfaces (drag-drop consoles, workflow graphs) with a natural language processing system. Users can create new behaviors by speaking or typing in natural language, which is inherently simpler than manipulating visual elements, while the system handles the complexity of translating these commands into functional code.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20240281620A1Method, System, and Computer Program Product for Natural Language Programming of a New Function or Skill

Publication Date: 2024.08.22 KOGNITOS INC

AI summary

Disclosed is an approach to implement new behavior using natural language, and to debug and examine what happened in the past via a natural language interface as well. Some approaches use a combination of natural language understanding techniques, knowledge representation techniques, advanced compiler techniques and user interaction techniques, to solve for natural language programming and debugging of computers.