Journal

Communication & Cognition 2025, Vol. 58, issue 1-2

ISSN

0378-0880

e-ISSN

2953-1454

Title

AI LOGIC VS. CLASSICAL LOGIC: DISCOVERY VS. FORMALIZATION

Author                               J.-M. Kuczynski

Pages

pp. 23 - 36

Keywords

AI-Based Logic, Classical logic, empirical reasoning, evolution of Logical Systems. discovery, Gödel, inference, justification, mathematical reasoning, meta-reasoning pattern, psychologism, reasoning tool, Reichenbach, Syllogism, System L.

Abstract

This paper argues that classical logic fundamentally fails as a tool for reasoning because it requires more intelligence to recognize that an inference instantiates a logical law than to recognize the validity of the inference directly. Drawing on evidence from artificial intelligence systems, particularly large language models, we propose an alternative "System L" that better captures how both human and artificial minds actually reason. This system emphasizes pattern explicit recognition, meta-reasoning templates, and defeasible inference rather than rule application, suggesting reconceptualization of logic's nature and purpose.

DOI

https://doi.org/10.57028/C58-023-Z1080 

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