Adaptive Molecular Intelligence System (AMIS): A Theoretical Framework for Environment-Responsive Functional Switching in Programmable Macromolecules

Engineering notes

Key topics: autonomous driving, control. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

The realization of autonomous decision-making and adaptive behavior at the nanoscale remains one of the grand challenges of modern biophysics, nanotechnology, and artificial intelligence. Traditional chemical systems operate via fixed reaction pathways dictated by static thermodynamic and kinetic parameters. In contrast, biological systems exhibit sophisticated intelligence through dynamic, context-dependent conformational states and enzymatic switching networks. This paper introduces the theoretical framework of the Adaptive Molecular Intelligence System (AMIS), a conceptual and mathematical paradigm for programmable macromolecules capable of sensing environmental cues and autonomously switching their catalytic or functional behavior. We formalize the core principles of molecular intelligence by modeling conformational state spaces, free energy landscapes, and allosteric signal transduction networks using plain text mathematical formulations. By conceptualizing environmental inputs as multidimensional state vectors and molecular functions as programmable operators, AMIS bridges the gap between synthetic biology and machine learning. We outline the thermodynamic driving forces, kinetic regulation mechanisms, and information-processing architectures that enable a single molecular entity to perform distinct operations under distinct environmental conditions, such as catalyzing Reaction 1 in Environment A and automatically transitioning to Reaction 2 in Environment B. This work lays the foundational architecture for next-generation smart materials, autonomous nanobots, and molecular-scale computational machinery without relying on external macroscopic control.

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