典型文献
Neuro-symbolic approaches in artificial intelligence
文献摘要:
Neuro-symbolic artificial intelligence refers to a field of research and applica-tions that combines machine learning methods based on artificial neural networks,such as deep learning,with symbolic approaches to computing and artificial intelligence(AI),as can be found for example in the AI subfield of knowledge representation and reasoning.
文献关键词:
中图分类号:
作者姓名:
Pascal Hitzler;Aaron Eberhart;Monireh Ebrahimi;Md Kamruzzaman Sarker;Lu Zhou
作者机构:
Department of Computer Science,Kansas State University,USA;Centerfor Open Source Data and AI Technologies(CODAIT),IBM Watson,USA;Department of Computing Sciences,University of Hartford,USA
文献出处:
引用格式:
[1]Pascal Hitzler;Aaron Eberhart;Monireh Ebrahimi;Md Kamruzzaman Sarker;Lu Zhou-.Neuro-symbolic approaches in artificial intelligence)[J].国家科学评论(英文版),2022(06):30-32
A类:
B类:
Neuro,symbolic,approaches,artificial,intelligence,refers,research,applica,tions,that,combines,machine,learning,methods,neural,networks,such,deep,computing,can,be,found,example,subfield,knowledge,representation,reasoning
AB值:
0.57445
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