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MATSEOTOOLS brings everything you need in one place — from AI tools List, color Library, SEO analyzers, image processing, conversion utilities, text tools, and developer tools to ready-to-use AI prompts & informative blogs.
Planning is a very important process in the world of artificial intelligence. When you want to understand what is planning in AI, it primarily refers to how a computer or machine reaches a goal by making the best decisions for future events. For example, if a robot needs to pick up a toy from across the room and place it on a table, it must first consider which path to take, what obstacles might arise, and when to take which action. This process is called AI planning.
Planning typically involves goal setting, identifying available means, comparing different options, and choosing the most appropriate path. As needed, the AI agent analyzes its surrounding environment and develops a sequence of actions. This process is used in many areas, such as robotics, gaming, autonomous vehicles, and smart assistants.
There are two main types of planning in AI: Classical Planning (where there is complete information) and Probabilistic Planning (where there is uncertainty). Applications like Google Maps also use this principle through route planning.
If you want to understand planning in AI practically, you can read more information on Wiki: Automated Planning & Scheduling.
Using planning algorithms like A* or STRIPS when creating AI projects can make your projects smarter and more efficient. Start with small projects, like planning a computer's next move in a game of Tic-Tac-Toe – this will give you a deeper understanding of AI planning.
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