Agentic Artificial Intelligence (AI) constitutes a transformative paradigm in the evolution of intelligent agents and decision-support systems, redefining smart environments by enhancing operational efficiency, optimizing resource allocation, and strengthening systemic resilience. This paper presents UserCentrix, a hybrid agentic orchestration framework for smart spaces that optimizes resource management and enhances user experience through urgency-aware and intent-driven decision-making mechanisms. The framework integrates interactive modules equipped with agentic behavior and autonomous decision-making capabilities to dynamically balance latency, accuracy, and computational cost. User intent functions as a governing control signal that prioritizes decisions, regulates task execution and resource allocation, and guides the adaptation of decision-making strategies to balance trade-offs between speed and accuracy. Experimental results demonstrate that the framework autonomously enables efficient intent processing and real-time monitoring, while balancing reasoning quality and computational efficiency, particularly under resource-constrained edge conditions.

翻译：自主式人工智能（Agentic AI）构成了智能体与决策支持系统演进过程中的变革性范式，通过提升运营效率、优化资源配置、增强系统韧性重新定义了智能环境。本文提出UserCentrix——面向智能空间的混合式自主编排框架，通过紧迫感知与意图驱动的决策机制，优化资源管理并提升用户体验。该框架集成具备自主行为与独立决策能力的交互模块，动态平衡延迟、准确性与计算成本。用户意图作为主导控制信号，可优先决策、规范任务执行与资源分配，并指导决策策略的适应性调整，以平衡速度与准确性之间的权衡。实验结果表明，该框架能够在边缘资源受限条件下，自主实现高效意图处理与实时监控，同时保持推理质量与计算效率之间的平衡。