Cognitive Offloading and Autonomous Agency: A Comprehensive Review of Self-Regulating Smartphone Architectures

The ubiquitous smartphone, once conceived merely as a portable portal to the internet, stands at the precipice of a fundamental ontological transformation. For the past two decades, the dominant paradigm of mobile interaction has been reactive: the device serves as a dormant repository of capability, awaiting explicit, manual input from a human user to activate its functions. However, a convergence of advancements in semiconductor efficiency, edge-deployed machine learning, and context-aware algorithms is catalyzing a shift toward proactive, autonomous agency. We are witnessing the emergence of smartphones that do not simply execute commands but "think for themselves"—devices capable of sensing environmental and user context to autonomously toggle settings, modulate power consumption, and even decide when to turn themselves off to preserve battery health or safeguard user well-being. This literature review provides an exhaustive analysis of the research landscape surrounding these autonomous mobile systems. It explores the technical architectures enabling "Self-Aware Computing" (SeAC) on mobile devices, the algorithmic foundations of context-aware power management (CAPM), and the emerging field of Agentic AI. Furthermore, it critically examines the human implications of this autonomy