Semantic Script Compilation for Human-Readable Executable Logic
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Solution Overview
Problem
Existing computer programming languages are complex and technical, making it difficult for non-programmers to understand and use them, and prior art systems fail to provide a way for non-programmers to write code using pseudo-code effectively.
Innovation Solution
The Semantic Script Programming Language (SSPL) allows users to express domain expertise in a human-readable way, using a stack-oriented, concatenative and procedural programming language that minimizes syntax and scope, and utilizes machine learning to update the compiler when expressions are misunderstood, providing a human-computer interface layer that lowers complexity for non-programmers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional programming languages are used, then machine execution capability is achieved, but language complexity increases making it difficult for non-programmers to understand and use
Solution Approach 1:
The patent introduces a language processing layer as an intermediary between natural language and machine code. This layer translates human-readable pseudo-code into executable machine instructions, allowing non-programmers to write code in a simplified syntax while still achieving machine execution. The processing layer acts as a mediator that bridges the gap between accessibility and computational power.
Solution Approach 2:
The patent changes the syntactic parameters of the programming language by minimizing the use of special symbols and reducing syntax complexity. The language uses natural language constructs with minimal punctuation and formatting requirements, transforming the traditional rigid syntax into a more flexible, readable format that lowers the barrier for non-programmers while maintaining computational functionality.
2Ease of operation
If pseudo-code is used for describing algorithms, then human readability is improved, but the ability to actually write executable code is lost
Solution Approach 1:
The patent creates a universal language construct that serves both as human-readable pseudo-code and as executable machine code. The same syntax used for describing algorithms in natural language becomes the actual code that can be compiled and executed. This eliminates the need to translate between description and implementation, allowing users to write once and execute immediately.
Solution Approach 2:
The language processing layer serves as an intermediary that accepts natural language pseudo-code as input and automatically generates executable machine code as output. This mediator enables the same text to fulfill both descriptive and executable functions, bridging the gap between human-readable algorithms and machine-executable instructions without requiring separate writing processes.
3Ease of operation
If syntax and scope are minimized, then ease of use for non-programmers is improved, but precision of expression may be compromised
Solution Approach 1:
The patent incorporates a feedback mechanism where the language processing layer analyzes the simplified syntax and provides real-time validation and clarification. When the syntax is minimal, the system uses contextual analysis and machine learning to infer the intended meaning, adjusting interpretation based on feedback from the execution environment and user intent, thereby maintaining precision despite reduced syntactic complexity.
Solution Approach 2:
The patent changes the interpretation parameters of the language processor to compensate for reduced syntax. By using contextual analysis, machine learning models, and adaptive parsing algorithms, the system infers precise meanings from simplified constructs. The processor adjusts its interpretation based on the surrounding context, data types, and execution environment, maintaining measurement precision even when syntax is minimized for ease of use.
Data Source
AI summary
A method and system provide the ability to process source computer instructions. The source computer instructions are obtained and include input statements that consist of two functions that consume one or more arguments. A legal configuration of the functions and arguments is determined. A first function can be evaluated to yield a non-variable value, and a second function cannot be evaluated to yield a non-variable value. The input statements are compiled into executable code using the determined legal configuration such that during compilation, the first function is executed, and instructions are emitted to execute the second function at an indeterminate time.