Hybrid neural systems: from simple coupling to fully integrated neural networks

By K. McGarry, Stefan Wermter, J. MacIntyre. 1999

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On the Binding Problem in Artificial Neural Networks (2020, background): “Countless other variations that vary in terms of the division of ur between the symbolic and neural components and the choice of a mechanism used to couple them are possible (McGarry et al., 1999; Davidson and Lake, 2020).”
Model-Agnostic Linear Competitors - When Interpretable Models Compete and Collaborate with Black-Box Models (2019, result): “…body of continuous work on neural-symbolic or neural-expert systems (Garcez et al. 2015) pursued by a relatively small research community over the last two decades and has yielded several signiﬁcant results (McGarry et al. 1999, Garcez et al. 2012, Taha and Ghosh 1999, Towell and Shavlik 1994).”
Informed Machine Learning – A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems (2019, background): “connectionist and symbolic systems into hybrid systems is a longtime idea [140], [141], it is currently getting more attention [142], [143].”