{"ID":2837613,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.20700","arxiv_id":"2511.20700","title":"Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library","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.","short_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 th...","url_abs":"https://arxiv.org/abs/2511.20700","url_pdf":"https://arxiv.org/pdf/2511.20700v1","authors":"[\"Arnaldo de Carvalho Junior\",\"Diego Oliveira da Cruz\",\"Bruno da Silva Alves\",\"Fernando da Silva Paulo Junior\",\"João Inacio da Silva Filho\"]","published":"2025-11-24T15:06:35Z","proceeding":"cs.AI","tasks":"[\"cs.AI\",\"cs.LO\"]","methods":"[]","has_code":false}