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In Artificial Intelligence (AI), a Production System is a framework that allows machines to follow rules to solve problems. When people ask Google, what is a production system in AI, they want to know its meaning, how it works, and its real-world applications.
Simply put, a Production System is a Rules-Based System, where rules and working memory are the two main components. Rules are usually in an “if-then” format. For example, "If the battery is low, then sound the alarm."
Whenever a system is given a problem, it stores the information in working memory and then finds a solution based on rules. This approach can be seen in chess-playing AI, medical diagnosis systems, or chatbots.
The main types of production systems are monotonic (where previous conclusions never change) and non-monotonic (where new data can change previous conclusions). These make it easier to arrive at systematic solutions in expert systems (like MYCIN).
If you want to create your own small AI project, first write an "if-then" rule—such as choosing to pick out an umbrella based on the weather. This makes AI production systems much easier to understand, even for children and beginners.
For more information, you can see Wikipedia: Production Systems.
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