Abstract
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.
Keywords
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Acknowledgments
This work has been supported by project IOTEC: “Development of Technological Capacities around the Industrial Application of Internet of Things (IoT)”. 0123-IOTEC-3-E. Project financed with FEDER funds, Interreg Spain-Portugal (PocTep). Inés Sittón-Candanedo has been supported by IFARHU – SENACYT scholarship program (Government of Panama).
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Sittón, I., Alonso, R.S., Hernández-Nieves, E., Rodríguez-Gonzalez, S., Rivas, A. (2019). Neuro-Symbolic Hybrid Systems for Industry 4.0: A Systematic Mapping Study. In: Uden, L., Ting, IH., Corchado, J. (eds) Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science, vol 1027. Springer, Cham. https://doi.org/10.1007/978-3-030-21451-7_39
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