例如,“神经符号认知代理”(Neural-symbolic Cognitive Agent)表明,在现实场景中执行在线学习和推理是可能的,其中可以提取时间知识来推理驾驶技能。可以看作是随着时间推移的前向链接。在∂ILP中,为每个子句定义了一个可微函数,用于执行向前链接的单个步骤。NLM使用神经网络作为前向推理的可微链。 后向链接从知识库中...
【Neural-Symbolic】方向的研究工作核心思想一览 Neural-Symbolic可以认为是将人工智能中原本对立的连接主义和符号主义结合的一个新兴研究方向(实际上最早相关工作可追至1978年),先对其相关研究工作典型的十篇论文做出总结。 Neural-Symbolic的本质是什么 Neural-Symbolic意指神经符号主义,但是更本质地讲,实际上是将现代...
具体来说,我们引入了一种神经符号机(NSM:Neural Symbolic Machine),其包含了一个序列到序列(seq2seq)神经「编程器(programmer)」和一个不可微分的「计算机(computer)」——该计算机是一个带有代码协助(code assist)的 Lisp 解释器。为了成功将 REINFORCE 用于训练,我们通过使用一个迭代式的最大似然训练过程(iterative...
A curated list of papers on Neural Symbolic and Probabilistic Logic. Papers are sorted by their uploaded dates in descending order. Each paper is with a descrip...
machine-learningontologiesneural-symbolicneuro-symbolicneurosymbolic UpdatedJan 27, 2025 Python https://arxiv.org/abs/2312.10807 reinforcement-learningimitation-learningrobot-manipulationneural-symbolicfoundation-modelsvisual-language-modelslanguage-conditioned-learninglarge-languge-models ...
However, symbolic reasoning is intolerant of the ambiguous and noisy data. On the contrary, the recent advances of deep learning have promoted neural reasoning on knowledge graphs, which is robust to the ambiguous and noisy data, but lacks interpretability compared to symbolic reasoning. Considering ...
Neural-Symbolic酒瓶:理清推理从视觉和语言的理解 下载积分: 500 内容提示: Neural-Symbolic VQA: Disentangling Reasoningfrom Vision and Language UnderstandingKexin Yi ∗Harvard UniversityJiajun Wu ∗MIT CSAILChuang GanMIT-IBM Watson AI LabAntonio TorralbaMIT CSAILPushmeet KohliDeepMindJoshua B. TenenbaumMIT...
By using a graphical presentation, it explains neural networks through a sound neural-symbolic integration methodology, and it focuses on the benefits of integrating effective robust learning with expressive reasoning capabilities. The book will be invaluable reading for academic researchers, graduate ...
● 神经符号 Neural-Symbolic hinton * [Neural-Symbolic Learning Systems (豆瓣)](http://t.cn/A62p3Nt0) * [Neural-Symbolic Cognitive Reasoning (豆瓣)](http://t.cn/A62p3Ntp) * [IJCLR 2020: Internation...
Neural-symbolic cognitive agents: architecture, theory and application In real-world applications, the eective integration of learn- ing and reasoning in a cognitive agent model is a dicult task. However, such integration may ... LD Penning,ASD Garcez,LC Lamb,... - Autonomous Agents & Multi...