Automated Planning: Modeling and Constraints

This lecture covers automated planning, including linear and non-linear planning, planning with constraints, and applications in various domains such as the world of blocks. It explains the challenges of planning, the use of operators, and the representation of states and actions. The instructor discusses the complexities of planning, the importance of heuristics, and the efficiency of solving planning problems using constraint satisfaction problems. The lecture also touches on hierarchical planning, temporal reasoning, and practical applications like space mission planning and elevator movement optimization.