BriefGPT.xyz
May, 2024
在大规模模糊认知图中推进可解释人工智能与因果分析
Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps
HTML
PDF
Marios Tyrovolas, Nikolaos D. Kallimanis, Chrysostomos Stylios
TL;DR
总因果效应计算,通过二分搜索和图遍历技术,突破了现有方法所困扰的遍历问题,在大规模Fuzzy Cognitive Maps中实现了高效的因果效应计算,表明了该方法在因果效应分析中的卓越性能,有助于其在现代复杂的可解释性人工智能应用中的广泛应用。
Abstract
In the quest for accurate and interpretable AI models,
explainable ai
(XAI) has become crucial.
fuzzy cognitive maps
(FCMs) stand out as an advanced XAI method because of their ability to synergistically combine
→