Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library

TL;DR

Paraconsistent-Lib is an open-source Python library that simplifies the implementation of PAL2v algorithms for reasoning and decision-making, offering various analysis and decision outputs.

Contribution

It introduces a versatile, easy-to-use library for PAL2v algorithms, enabling streamlined development of reasoning systems with multiple analysis and decision functionalities.

Findings

Supports classical lattice PAL2v regions analysis

Enables implementation of well-known PAL2v algorithms

Reduces complexity, code size, and bugs in PAL2v systems

Abstract

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.