开源工具包简化帕拉一致逻辑算法开发，支持多种推理决策模型。
Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library
- 提供帕拉一致逻辑标准计算的通用库，支持12种经典格区域分析
- 可实现Para-analyzer等5种主流算法，代码量减少且更稳定
- 适合需要构建鲁棒推理系统的开发者，尤其关注逻辑一致性
本文介绍Paraconsistent-Lib，一个开源、易用的Python库，用于构建帕拉一致逻辑（PAL2v）算法，应用于推理与决策系统。该库作为PAL2v标准计算的通用工具，提供三类输出：12种经典格结构中的帕拉一致分析结果、帕拉一致分析节点（PAN）输出及决策输出。借助Paraconsistent-Lib，可将知名算法如Para-analyzer、ParaExtrCTX、PAL2v Filter、PANnet和PNN以独立或网络形式实现，显著降低复杂度、代码规模与错误率。文中展示了两个实际应用示例。当前版本已趋于稳定，项目正持续根据GitHub用户反馈进行功能扩展与优化。
原文摘要 · Abstract (English)
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.
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