We present an architectural approach to integrating neural and symbolic AI subsystems for robust, interpretable reasoning. Pure connectionist systems excel at pattern recognition but lack systematic compositionality; symbolic systems offer logical rigour but struggle with perceptual grounding. Our neuro-symbolic integration framework defines interface layers, conflict resolution protocols, and emergent reasoning properties arising from hybrid architectures.
Paper
The full text of this publication is not hosted on 44B due to licensing.
Read it at OpenAlex