A type of artificial intelligence system that uses a database is a Knowledge-Based System (KBS), also known as an Expert System.
Knowledge-Based Systems utilize a knowledge base, which is essentially a database of structured information, rules, and relationships, to emulate the problem-solving capabilities of human experts in a specific domain. These systems employ reasoning mechanisms to interpret and apply the knowledge stored in the database to make decisions or provide solutions to complex problems.
The knowledge base in a Knowledge-Based System typically consists of:
Facts: Data or information about the domain of interest, stored in a structured format within the database.
Rules: Logical statements or if-then rules that encode the domain-specific knowledge and expertise. These rules define how the system should reason and make decisions based on the available facts and conditions.
Inference Engine: The inference engine is the reasoning component of the system that interprets the rules, applies logical reasoning, and derives new conclusions or recommendations based on the input data and the knowledge stored in the database.
User Interface: The user interface allows users to interact with the Knowledge-Based System, input queries or data, and receive responses or recommendations generated by the system based on its knowledge base and reasoning capabilities.
Knowledge-Based Systems are widely used in various domains, including healthcare, finance, engineering, and customer support, to automate decision-making processes, provide expert advice, and solve complex problems efficiently
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