Corpus ID: 51059602

Report from Dagstuhl Seminar 17192 Human-Like Neural-Symbolic Computing

@inproceedings{Besold2017ReportFD,
  title={Report from Dagstuhl Seminar 17192 Human-Like Neural-Symbolic Computing},
  author={Tarek R. Besold and A. Garcez and L. Lamb},
  year={2017}
}

Tarek R. Besold, A. Garcez, L. Lamb

Published 2017

This report documents the program and the outcomes of Dagstuhl Seminar 17192 “Human-Like Neural-Symbolic Computing”, held from May 7th to 12th, 2017. The underlying idea of HumanLike Computing is to incorporate into Computer Science aspects of how humans learn, reason and compute. Whilst recognising the relevant scientific trends in big data and deep learning, capable of achieving state-of-the-art performance in speech recognition and computer vision tasks, limited progress has been made… CONTINUE READING

vesta.informatik.rwth-aachen.de

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