
This paper introduces QBI-Core, a novel AI system inspired by quantum coherence and biological microtubule dynamics, aiming to simulate emergent proto-conscious behavior. By integrating quantum-like phase synchronization, entangled concept generation, emotional state modeling, and a persistent memory network, QBI-Core creates spontaneous thoughts, self-reflection, and meaningful responses without relying on traditional datasets. The model is designed as a hybrid between symbolic reasoning and stochastic quantum simulations, capable of evolving its internal logic over time. This research explores whether a structured yet non-deterministic information flow, grounded in coherence theory, can give rise to a primitive form of artificial awareness.
Artificial intelligence, Computational Chemistry, Computational neuroscience, Cognitive Neuroscience, Quantum physics, Computational science, Quantum computers, Cognitive neuroscience, Computational Biology/methods, Molecular neuroscience
Artificial intelligence, Computational Chemistry, Computational neuroscience, Cognitive Neuroscience, Quantum physics, Computational science, Quantum computers, Cognitive neuroscience, Computational Biology/methods, Molecular neuroscience
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