Łukasiewicz Logic with Actions for Neural Networks training

Based on the already known connection between multilayer perceptrons and ukasiewicz logic with rational coefficients, we take a step forward in analyzing its training process using a three-sorted hybrid modal logic: a multilayer perceptron is a logical formula; the actions of the training process are modal operators; the training process is a sequence of logical deductions.Using the proof assistant and the programming language Lean 4, the algorithmic implementation of the training process is certified by logical proofs.

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Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2025-09-15
DOI
https://doi.org/10.4204/eptcs.427.4
Citations
2
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
4.96
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article

Łukasiewicz Logic with Actions for Neural Networks training

Ioana Leuştean, Bogdan Macovei
2 citations
Electronic Proceedings in Theoretical Computer Science
Neural Networks and Applications
4.96
article

Łukasiewicz Logic with Actions for Neural Networks training

Ioana Leuştean, Bogdan Macovei
article en
2 citations

Abstract

Based on the already known connection between multilayer perceptrons and ukasiewicz logic with rational coefficients, we take a step forward in analyzing its training process using a three-sorted hybrid modal logic: a multilayer perceptron is a logical formula; the actions of the training process are modal operators; the training process is a sequence of logical deductions.Using the proof assistant and the programming language Lean 4, the algorithmic implementation of the training process is certified by logical proofs.

Electronic Proceedings in Theoretical Computer ScienceVol. 427
University of Bucharest (RO)
Openalex Percentile: Top 5%
Neural Networks and Applications
4.96
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