Abstract
This position paper discusses relationships among hybrid neural-symbolic models, dual-process theories, and cognitive architectures. It provides some historical backgrounds and argues that dual-process (implicit versus explicit) theories have significant implications for developing neural-symbolic (neurosymbolic) models. Furthermore, computational cognitive architectures can help to disentangle issues concerning dual-process theories and thus help the development of neural-symbolic models (in this way as well as in other ways).
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