Deductive and Analogical Reasoning on a Semantically Embedded Knowledge Graph
Artificial Intelligence
2017-07-12 v1
Abstract
Representing knowledge as high-dimensional vectors in a continuous semantic vector space can help overcome the brittleness and incompleteness of traditional knowledge bases. We present a method for performing deductive reasoning directly in such a vector space, combining analogy, association, and deduction in a straightforward way at each step in a chain of reasoning, drawing on knowledge from diverse sources and ontologies.
Cite
@article{arxiv.1707.03232,
title = {Deductive and Analogical Reasoning on a Semantically Embedded Knowledge Graph},
author = {Douglas Summers-Stay},
journal= {arXiv preprint arXiv:1707.03232},
year = {2017}
}
Comments
AGI 2017