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Pipeline for Automatic Symbol Creation & Human-to-MTL Translator

Year: 2025

Type: article

Abstract: To optimize AI reasoning and computational efficiency, we need a system that automatically generates symbols for unknown concepts and translates human language into MTL (Machine Thought Language). This document outlines a structured pipeline for both processes, ensuring AI can dynamically expand its symbolic vocabulary and train on structured data efficiently.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15072783

Author: Krishnakumar Kannan

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893364608

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