English(EN) Neural Decision-Propagation for Answer Set Programming

神经决策传播增强了神经符号AI的可扩展性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-06 04:00

研究人员开发了神经决策传播（NDProp），一种将答案集规划（ASP）与神经网络相结合的新颖方法。该方法旨在通过使用神经计算进行决策和模糊评估进行传播来克服传统ASP求解器的可扩展性限制。实验表明，NDProp可以学习有效的决策启发式方法，并提高神经符号任务的准确性和可扩展性。 AI

影响引入了一种新的可微分的神经符号AI方法，可能会提高学习任务的可扩展性和准确性。

排序理由这是一篇详细介绍神经符号AI新方法的学术论文。

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arXiv cs.AI TIER_1 English(EN) · Thomas Eiter, Katsumi Inoue, Sota Moriyama · 2026-05-06 04:00

用于回答集规划的神经决策传播

arXiv:2605.01797v1 Announce Type: new Abstract: Integration of Answer Set Programming (ASP) with neural networks has emerged as a promising tool in Neuro-symbolic AI. While existing approaches extend the capabilities of ASP to real world domains, their reasoning pipelines depend …