Neuro-Symbolic Hybrid Systems for Industry 4.0: A Systematic Mapping Study

被引:4
|
作者
Sitton, Ines [1 ]
Alonso, Ricardo S. [1 ]
Hernandez-Nieves, Elena [1 ]
Rodriguez-Gonzalez, Sara [1 ]
Rivas, Alberto [1 ]
机构
[1] Univ Salamanca, IoT Digital Innovat Hub, Calle Espejo S-N, Salamanca 37007, Spain
关键词
euro-symbolic hybrid system (NSHS); Industry; 4.0; Artificial intelligence; Systematic mapping study; RESEARCH AGENDA; EXPERT-SYSTEMS; FUTURE; MODEL; ENVIRONMENTS; AUTOMATION; FRAMEWORK; CONTEXT; CBR;
D O I
10.1007/978-3-030-21451-7_39
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Neuro-symbolic hybrid systems (NSHS) have been used in several research areas to obtain powerful intelligent systems. A systematic mapping study was conducted, searching studies published from January 2011 to May 2018 in three author databases defining four research questions and three search strings. With the results a literature review was made to generate a map with main trends and contributions about the use of NSHS in Industry 4.0. An evaluation rubric based on the work of Petersen et al. (2015) was applied too. In a first exploratory search 544 papers was found, but only 330 had relation with research theme. After this first classification a second filter was applied to identify repeated articles or which had not relevance for solve the research questions, obtaining 118. Finally, 50 primary studies was selected. This paper is a guide aimed at researching and obtaining evidence on the shortage of publications and contributions about the use of neuro symbolic hybrid systems applied in Industry 4.0 environment.
引用
收藏
页码:455 / 465
页数:11
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