Δ1: An Automated Theorem Generator

This paper introduces Δ1, a novel automated theorem generator for propositional and first-order logic that operates without a traditional built-in theorem prover. Unlike conventional approaches that focus on proving the validity of existing statements, Δ1 innovates by creating new, provably correct theorems based on the full triangular standard contradiction, a unique principle and structure ensuring that all generated theorems are inherently sound, eliminating the need for time-consuming re-verification by theorem provers or manual checking. The value of this system is twofold: its guaranteed correctness and its prolific generation capacity. By ensuring the premises are satisfiable, Δ1 produces theorems that are not only true but also logically meaningful. This is a significant leap beyond typical systems that may generate trivial or uninteresting tautologies. The system’s efficiency is demonstrated by its ability to generate a vast number of unique theorems. For n distinct literals in propositional logic or n predicates satisfying specific conditions in first-order logic, Δ1 can automatically produce n! mutually non-equivalent theorems. This exponential growth in output offers a powerful tool for discovering new logical relationships. This approach aligns with the cutting edge of AI, particularly in areas like automated knowledge discovery and explainable AI (XAI). By generating theorems from a foundational, verifiable structure, Δ1 provides a clear and transparent pathway to its conclusions, offering insights into the reasoning process itself. Furthermore, these logical theorems can be interpreted across diverse fields, from natural sciences to social sciences, positions it as a foundational technology for automating scientific discovery and extending the boundaries of computational reasoning. The system’s unique architecture represents a paradigm shift from a reactive “prover” to a proactive “creator” of logical knowledge.

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Institutions

Publication Details

Journal
International Journal of Computational Intelligence Systems
Published
2025-11-21
DOI
https://doi.org/10.1007/s44196-025-01035-8
Citations
1
Primary Topic
Logic, programming, and type systems
Type
article
Field-Weighted Citation Impact
2.48

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article

Δ1: An Automated Theorem Generator

Shuwei Chen, Jun Liu, Yang Xu, Hailin Guo
1 citations
International Journal of Computational Intelligence Systems
Logic, programming, and type systems
2.48
article

Δ1: An Automated Theorem Generator

Shuwei Chen, Jun Liu, Yang Xu, Hailin Guo
article en
1 citations

Abstract

This paper introduces Δ1, a novel automated theorem generator for propositional and first-order logic that operates without a traditional built-in theorem prover. Unlike conventional approaches that focus on proving the validity of existing statements, Δ1 innovates by creating new, provably correct theorems based on the full triangular standard contradiction, a unique principle and structure ensuring that all generated theorems are inherently sound, eliminating the need for time-consuming re-verification by theorem provers or manual checking. The value of this system is twofold: its guaranteed correctness and its prolific generation capacity. By ensuring the premises are satisfiable, Δ1 produces theorems that are not only true but also logically meaningful. This is a significant leap beyond typical systems that may generate trivial or uninteresting tautologies. The system’s efficiency is demonstrated by its ability to generate a vast number of unique theorems. For n distinct literals in propositional logic or n predicates satisfying specific conditions in first-order logic, Δ1 can automatically produce n! mutually non-equivalent theorems. This exponential growth in output offers a powerful tool for discovering new logical relationships. This approach aligns with the cutting edge of AI, particularly in areas like automated knowledge discovery and explainable AI (XAI). By generating theorems from a foundational, verifiable structure, Δ1 provides a clear and transparent pathway to its conclusions, offering insights into the reasoning process itself. Furthermore, these logical theorems can be interpreted across diverse fields, from natural sciences to social sciences, positions it as a foundational technology for automating scientific discovery and extending the boundaries of computational reasoning. The system’s unique architecture represents a paradigm shift from a reactive “prover” to a proactive “creator” of logical knowledge.

International Journal of Computational Intelligence SystemsVol. 18(1)
University of Ulster (GB), Southwest Jiaotong University (CN)
Ulster University, National Natural Science Foundation of China, Southwest Jiaotong University, Jiangxi University of Science and Technology
Openalex Percentile: Top 8%
Logic, programming, and type systems
2.48
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