👉 Planning computing is a branch of artificial intelligence that focuses on generating sequences of actions to achieve specific goals or objectives. It involves creating plans by modeling the problem domain, identifying tasks, and determining the optimal sequence of actions to accomplish a desired outcome. This process typically includes defining the initial state, specifying goals or objectives, and deriving a plan that transitions from the initial state to the goal state through a series of intermediate states and actions. Planning algorithms often incorporate heuristics, constraints, and probabilistic reasoning to handle uncertainty and complexity in real-world scenarios. Applications of planning computing span various domains, including robotics, autonomous vehicles, game playing, and natural language processing, where systems need to make intelligent decisions to navigate dynamic environments or solve complex problems.
