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Expert Systems Components
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Knowledge Base
Contains domain-specific and high-quality knowledge, which is used by the inference engine to draw conclusions.
Inference Engine
Applies logical rules to the knowledge base to deduce new information and reach conclusions.
User Interface
Provides a bridge between human users and the expert system, allowing for interaction and information exchange.
Explanation Module
Gives users insight into the reasoning of the system, explaining how conclusions were reached.
Knowledge Acquisition Subsystem
Assists in extracting information and knowledge from various sources and incorporating it into the knowledge base.
Working Memory
Temporarily holds the dynamic information that pertains to the current problem instance being evaluated.
Knowledge Base Management System
Manages and maintains the information and structure of the knowledge base, ensuring its integrity and accessibility.
Learning Module
Updates and improves the expert system over time by learning from new data and interactions, adapting the knowledge base as needed.
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