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RSK-Infrastructure-F
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1. Knowledge Base: The knowledge base is a collection of facts and rules that an expert system uses to solve problems. It is the foundation of the system and contains the data and information that the system needs to solve the problems.
2. Inference Engine: The inference engine is the core component of the expert system, which processes the information provided by the knowledge base and applies it to the problem being solved.
3. User Interface: The user interface is the link between the user and the expert system. It allows the user to interact with the system and enter the data and information needed to solve the problem.
4. Explanation Facility: The explanation facility is used to provide the user with a detailed explanation of the process used by the system to solve the problem.
5. Knowledge Acquisition: Knowledge acquisition is the process of gathering the data and information needed by the system to solve the problem. This can be done from experts, databases, documents, and other sources.
2. Inference Engine: The inference engine is the core component of the expert system, which processes the information provided by the knowledge base and applies it to the problem being solved.
3. User Interface: The user interface is the link between the user and the expert system. It allows the user to interact with the system and enter the data and information needed to solve the problem.
4. Explanation Facility: The explanation facility is used to provide the user with a detailed explanation of the process used by the system to solve the problem.
5. Knowledge Acquisition: Knowledge acquisition is the process of gathering the data and information needed by the system to solve the problem. This can be done from experts, databases, documents, and other sources.