📄 中文摘要
人工智能的演变从基础问题解决代理到现代自主系统，展示了经典状态空间理论在自主智能中的重要框架。通过综合基本搜索算法，如A*、广度优先搜索（BFS）和迭代加深，与基于大型语言模型（LLM）的搜索代理的最新里程碑相结合，分析了从反应性生成模型到能够进行动态规划、反思和多轮推理的主动代理的转变。这一转变标志着人工智能在自主性和智能化方面的显著进步。
弥合差距：从经典搜索理论到自主智能时代
📄 English Summary
Bridging the Gap: From Classical Search Theory to the Era of Agentic AI
The evolution of Artificial Intelligence from foundational problem-solving agents to modern agentic systems illustrates the essential framework provided by classical state-space theory for autonomous intelligence. By synthesizing basic search algorithms such as A*, Breadth-First Search (BFS), and Iterative Deepening with recent milestones in Large Language Model (LLM)-based search agents, the transition from reactive generative models to proactive agents capable of dynamic planning, reflection, and multi-turn reasoning is analyzed. This shift signifies a remarkable advancement in the autonomy and intelligence of AI systems.