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.
Raj Kiran Sharma (Tue,) studied this question.