Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library

Abstract: This paper introduces Paraconsistent-Lib, an open-source, easy-to-use Python library for building P AL2v algorithms in reasoning and decision-making systems. Paraconsistent-Lib is designed as a general-purpose library of P AL2v standard calculations, presenting three types of results: paraconsistent analysis in one of the 12 classical lattice P AL2v regions, paraconsistent analysis node (P AN) outputs, and a decision output. With Paraconsistent-Lib, well-known P AL2v algorithms such as Para-analyzer, ParaExtrCTX, P AL2v Filter, paraconsistent analysis network (P ANnet), 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.Keywords: Paraconsistent-Lib, P AL2v, Python Library, Reasoning, Decision-Making1. IntroductionThe desire to create an automaton capable of imitating human behavior is long-standing.