A Knowledge-Based System (KBS) is a type of computer software that applies Artificial Intelligence (AI) principles to handle problem-solving, learning, and decision-making processes. It analyses a variety of information sources, including knowledge and data, to generate new knowledge.
These systems are specifically designed to support human decision-making processes. They use AI to analyze large amounts of data and understand the context of the information they process. Knowledge-Based Systems are capable of making well-justified decisions based on the knowledge they hold and the analysis of the problems they encounter.
The main difference between traditional computer software and Knowledge-Based Systems is that the latter incorporates human knowledge in a symbolic format within a software system. The knowledge can be expressed as rules or heuristics and identifies new knowledge with explicit and implicit knowledge stored explicitly in its database.
The Benefits of Knowledge-Based Systems
One of the major benefits of Knowledge-Based Systems is that they can capture and incorporate human knowledge into software that helps with decision-making. Often, the knowledge used within these systems can be difficult or expensive to capture, making knowledge-based systems an invaluable tool. Additionally, knowledge that already exists can be captured in rule form, eliminating the need to transform data definitions and processes.
Another benefit of Knowledge-Based Systems is that they understand the context of the data they analyze, making it possible to make well-justified decisions. As they apply AI principles, they can address complicated issues that were previously unable to be solved by traditional computer systems.
FAQs
What is a Knowledge-Based System?
A Knowledge-Based System (KBS) is a type of computer software that applies AI to handle problem-solving, learning, and decision-making processes. It uses human knowledge to analyze various data sources to generate new knowledge.
What are the benefits of a Knowledge-Based System?
The main benefits of Knowledge-Based Systems include capturing and incorporating human knowledge for decision-making and making well-justified decisions by analyzing the context of the data. They can solve complex issues previously difficult for traditional computer systems.
Conclusion
The use of Knowledge-Based Systems has revolutionized traditional problem-solving and decision-making processes. By incorporating human knowledge into software systems using AI principles, these systems can analyze large amounts of data and provide well-justified, context-based decisions.
