A knowledge-based system (KBS) is a computer program that uses a knowledge base to solve problems or make decisions in a specific domain. It uses a combination of rules and data to process information and draw conclusions based on that knowledge. The knowledge is typically represented in a declarative manner, allowing the system to reason about the information it contains to produce new insights or solutions. Examples of KBS include expert systems, decision support systems, and recommendation systems.
Some other features and characteristics of KBS are:
- Rule-based: KBS use if-then rules to represent knowledge, allowing the system to make decisions or draw conclusions based on specific conditions.
- Domain-specific: KBS are designed to be used in a specific domain, such as medicine, finance, or law. They are not general-purpose systems but instead are built to solve problems within a specific area of expertise.
- Reasoning: KBS can use logical inference to reason about information in the knowledge base and draw new conclusions based on that information.
- Explanation: KBS can provide explanations for their decisions or recommendations, allowing users to understand how the system arrived at a particular solution.
- Knowledge acquisition: KBS require a process of knowledge acquisition to build the knowledge base, which can be time-consuming and complex. Read More about Digital Content.