Planning and automated reasoning

This unit focuses on the foundations of automated planning and reasoning and their real-world applications. Autonomous agents are active agents that independently execute actions to achieve a certain goal or goals. These agents perceive their environment and reason and plan in order to effect their environment and achieve their goals. This is a very popular and highly researched AI approach and has many significant implications beyond the traditional area of AI (optimisation, robotics, scheduling, etc?). This course will give you the foundations to develop and design your own autonomous agents.

### 📊 难度与时间管理 FIT5222（Planning and automated reasoning）对研究生同学最常见的挑战，不是单个知识点，而是“持续交付 + 质量控制”的双重要求。建议把学习任务拆成周目标：每周至少完成一次知识结构整理、一次动手实践、一次结果复盘，把压力前移，避免后期堆积。 ### 🎯 高分策略 高分关键在于三件事：概念解释准确、方案实现可验证、结果表达可复现。复习建议采用三轮法：第一轮补基础漏洞，第二轮按专题强化，第三轮做限时模拟与表达演练。面对综合题时先给框架再落实现细节，能显著提升稳定性。 ### 📚 学习建议 优先跟官方材料与评分 rubric，对齐课程的真实评价标准。每周固定 45-60 分钟维护自己的“错题/踩坑库”，记录失败原因、修复路径和可复用模板。长期坚持后，你会发现这份知识库比临时刷题更有价值。 ### ⚠️ 常见避坑 最容易失分的点是：只做 happy path、忽略边界情况、文档解释不足、提交材料不完整。建议采用 D-7 / D-3 / D-1 三阶段推进：D-7 完成主功能，D-3 补边界与回归，D-1 仅做提交包检查与表达优化。 ### 💬 过来人建议 把 FIT5222 当作“可持续交付训练”而不是“考前冲刺课”。只要连续 8-10 周保持稳定节奏，你的作业质量、复习效率和最终成绩通常都会更可控，也更容易进入高分区间。