Research & Development

At Atom 5 Engineering, we are pioneering a new frontier in neuro-symbolic artificial intelligence through software-based Whole-Brain Emulation (WBE). Unlike traditional AI systems that rely on statistical inference and large-scale training data, WBE seeks to replicate the actual structure and function of the human mind—capturing how perception, memory, and reasoning emerge from underlying computational processes.

Our cognitive architecture is grounded in and extends knowledge graph theory, using two primary structures: Maps, which encode evolving mental and environmental states across multiple layers, and Thought objects, which traverse and modify these Maps to perform inference, create associations, and drive decision-making. This design enables key features of cognition—including generalization from sparse data, memory consolidation, and logical learning—to emerge naturally within the system.

We’ve developed a working simulation of this architecture, available to explore here, demonstrating how these components interact in real time. By moving beyond behavior-level mimicry and toward a functional reconstruction of mental processes, our goal is to lay the groundwork for artificial minds that can adapt, reason, and evolve—bridging the gap between neuroscience and machine intelligence.