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English(EN) WAMpy: Efficient Synthesis of Prolog Programs in Python

WAMpy框架加速Python中Prolog程序合成

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了WAMpy，一个专为高效合成Prolog程序设计的Python框架。该系统特别适用于涉及重复生成和评估小型候选程序的任务。WAMpy通过将Prolog子句编译为基于NumPy数组的WAM指令，并利用Numba对性能关键例程进行即时编译，从而实现性能提升。基准测试表明，对于涉及重复编译和评估的工作负载，WAMpy通过Janus从Python访问时，其性能优于SWI-Prolog。 AI

影响 该框架可以提高依赖符号推理和程序生成的AI系统的效率。

排序理由 该集群描述了一篇介绍新颖程序合成框架的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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WAMpy框架加速Python中Prolog程序合成

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该集群描述了一篇介绍新颖程序合成框架的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Dominik Magiera, Lukas R\"ohrig, Frank J\"akel ·

    WAMpy: Python中高效合成Prolog程序

    arXiv:2610.03234v1 Announce Type: cross Abstract: We present WAMpy, a Python framework optimized for synthesizing Prolog programs. Unlike general-purpose Prolog systems, WAMpy targets workloads that repeatedly generate and evaluate small candidate programs. WAMpy compiles Prolog …

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