Knowledge graph reasoning Knowledge graph embedding Symbolic reasoning Neural-symbolic reasoning 1. Introduction SYMBOLISM and connectionism are two main paradigms of Artificial Intelligence. Symbolism assumes the basic units which compose the human intelligence are symbols, and the cognitive process is a ser...
Knowledge graph reasoning is the fundamental component to support machine learning applications such as information extraction, information retrieval, and recommendation. Since knowledge graphs can be viewed as the discrete symbolic representations of knowledge, reasoning on knowledge graphs can naturally levera...
Neural correlates of symbolic and non-symbolic arithmetic. Neuropsychologia, 43, 744-753.Venkatraman V, Ansari D, & Chee MW (2005) Neural correlates of symbolic and non-symbolic arithmetic. Neuropsychologia 43(5):744-753.Venkatraman, V., Ansari, D. & Chee, M. W. L. (2005) ...
【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...
you know, for a while the artificial intelligence,maybe in the 80s, there was a time of knowledge representation, knowledge acquisition, expert systems, the symbolic AIwas an interesting problem set to solve, and it was kind ofput on holda little bit ?
论文简介:神经-符号计算综述 论文标题:Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning Abstract有原则性的知识表示和推理机制与基于深度…
Discovery of symbolic, neuro-symbolic and neural networks with parallel distributed genetic programming - Poli - 1997 () Citation Context ...an ADF is good, GP has to spend additional computation to discover with which parameters the ADF can be used properly. Code reuse is also possible with ...
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...
Parallel Distributed Genetic Programming (PDGP) is a new form of genetic programming suitable for the development of parallel programs in which symbolic and neural processing elements can be combined in a free and natural way. This paper describes the representation for programs and the genetic opera...
Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence. This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an ...