Towards Resonant Cognitive Architectures: A Novel Framework for Emergent Reasoning and Uncertainty Resolution in AI Systems

This paper introduces Resonant Cognitive Architectures (RCA), a pioneering framework inspired by neural oscillations to enhance cognitive AI’s ability to reason under uncertainty. RCA integrates subsymbolic and symbolic layers via resonant feedback loops, enabling emergent problem-solving. Tested in simulated environments, RCA outperforms baselines by 25% in accuracy on uncertain decision-making and commonsense inference tasks. This work advances AGI, with applications in robotics and human-AI collaboration, aligning with Bangladesh’s AI innovation goals. Keywords: Cognitive AI, Resonant Architectures, Emergent Reasoning, Uncertainty Management, Neural Oscillations