论文标题
嵌入向量差异可以与不确定的强度逻辑差异对齐
Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences
论文作者
论文摘要
在Atomspace加权的，标记的超图中，深处算法用于将嵌入向量分配给用于代表Opencog Agi系统中知识的节点的节点，这是在应用于基于生物学和基因组分析数据的longevity原因的概率推论的背景下。结果表明，在适当的条件下，嵌入向量之间的向量差异操作与与嵌入向量相对应的超图式节点之间的“强度差异”操作近似对齐。这种关系暗示了不确定的强度逻辑和向量算术之间的更广泛的函数映射，并为使用嵌入矢量代数指导强化推理控制打开了大门。
The DeepWalk algorithm is used to assign embedding vectors to nodes in the Atomspace weighted, labeled hypergraph that is used to represent knowledge in the OpenCog AGI system, in the context of an application to probabilistic inference regarding the causes of longevity based on data from biological ontologies and genomic analyses. It is shown that vector difference operations between embedding vectors are, in appropriate conditions, approximately alignable with "intensional difference" operations between the hypergraph nodes corresponding to the embedding vectors. This relationship hints at a broader functorial mapping between uncertain intensional logic and vector arithmetic, and opens the door for using embedding vector algebra to guide intensional inference control.
