Abstract
Machine learning excels at inducing mappings from data, but struggles to induce causal hierarchies. In contrast, symbolic reasoning (in particular, when considered as an expression language) can represent any form of domain knowledge and can index into code or data via pattern matching.
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CITATION STYLE
APA
Swan, J., Nivel, E., Kant, N., Hedges, J., Atkinson, T., & Steunebrink, B. (2022). Architecture. In Studies in Computational Intelligence (Vol. 1049, pp. 65–72). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-08020-3_8
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