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Main Authors: Junior, Arnaldo de Carvalho, da Cruz, Diego Oliveira, Alves, Bruno da Silva, Junior, Fernando da Silva Paulo, Filho, João Inacio da Silva
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.20700
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author Junior, Arnaldo de Carvalho
da Cruz, Diego Oliveira
Alves, Bruno da Silva
Junior, Fernando da Silva Paulo
Filho, João Inacio da Silva
author_facet Junior, Arnaldo de Carvalho
da Cruz, Diego Oliveira
Alves, Bruno da Silva
Junior, Fernando da Silva Paulo
Filho, João Inacio da Silva
contents This paper introduces Paraconsistent-Lib, an open-source, easy-to-use Python library for building PAL2v algorithms in reasoning and decision-making systems. Paraconsistent-Lib is designed as a general-purpose library of PAL2v standard calculations, presenting three types of results: paraconsistent analysis in one of the 12 classical lattice PAL2v regions, paraconsistent analysis node (PAN) outputs, and a decision output. With Paraconsistent-Lib, well-known PAL2v algorithms such as Para-analyzer, ParaExtrCTX, PAL2v Filter, paraconsistent analysis network (PANnet), and paraconsistent neural network (PNN) can be written in stand-alone or network form, reducing complexity, code size, and bugs, as two examples presented in this paper. Given its stable state, Paraconsistent-Lib is an active development to respond to user-required features and enhancements received on GitHub.
format Preprint
id arxiv_https___arxiv_org_abs_2511_20700
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library
Junior, Arnaldo de Carvalho
da Cruz, Diego Oliveira
Alves, Bruno da Silva
Junior, Fernando da Silva Paulo
Filho, João Inacio da Silva
Artificial Intelligence
Logic in Computer Science
This paper introduces Paraconsistent-Lib, an open-source, easy-to-use Python library for building PAL2v algorithms in reasoning and decision-making systems. Paraconsistent-Lib is designed as a general-purpose library of PAL2v standard calculations, presenting three types of results: paraconsistent analysis in one of the 12 classical lattice PAL2v regions, paraconsistent analysis node (PAN) outputs, and a decision output. With Paraconsistent-Lib, well-known PAL2v algorithms such as Para-analyzer, ParaExtrCTX, PAL2v Filter, paraconsistent analysis network (PANnet), and paraconsistent neural network (PNN) can be written in stand-alone or network form, reducing complexity, code size, and bugs, as two examples presented in this paper. Given its stable state, Paraconsistent-Lib is an active development to respond to user-required features and enhancements received on GitHub.
title Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library
topic Artificial Intelligence
Logic in Computer Science
url https://arxiv.org/abs/2511.20700