Much like the telegraph transmitted high-impact ideas through low-bandwidth bursts, modern AI might benefit from reasoning architectures that prioritize clarity over complexity — and structure over opacity.
DualMind is a reference architecture for reflexive hybrid intelligence — where symbolic and subsymbolic reasoning operate in parallel, exchanging structured information through hierarchical tokens that encode multi-level abstractions. These tokens act as a shared vocabulary, enabling symbolic logic to access subsymbolic patterns and vice versa, while a metacognitive layer critiques and aligns their reasoning processes.
This isn’t about fusion — it’s about conversation.
DualMind layers logic structures and learned patterns side by side, with a metacognitive process that monitors coherence, surfaces conflict, and guides epistemic realignment.
Rather than choosing a dominant paradigm, DualMind envisions a new kind of dialectic AI — one that argues with itself before acting.