Answer to Question #207580 in Management for Prabhdeep

Question #207580

Subject: Knowledge Management


By giving 8 points of difference , explain the difference between Knowledge System, Expert System and artificial System?


1
Expert's answer
2021-06-29T22:06:02-0400

The phrase "knowledge-based" is used to indicate that the system in question operates by automatically accessing a database of knowledge. This definition of a type of "system" is not dependent on any specific type or subject of knowledge, and it is not necessary to lead a practical application of knowledge by definition. For the sole aim of guided concept discovery, a knowledge-based system can be useful.


Because of the type or subject of knowledge it utilizes, an expert system is always meaningful by definition, and its aim is to apply unique knowledge to specific requirements, not only to obtain or disclose information. A knowledge-based system (KBS) is a computer software that solves complicated issues by reasoning and using a knowledge base. The word is broad, and it may apply to a wide range of systems. The endeavor to express information clearly using tools such as ontologies and rules rather than implicitly via code, as a traditional computer program does, is the common thread that runs through all knowledge-based systems. There are two sorts of sub-systems in a knowledge-based system: a knowledge base and an inference engine. Facts about the world are represented in the knowledge base, which is frequently in the form of ontology. An expert system is a computer program that simulates the capacity of a human expert to make decisions. Expert systems handle complicated issues by reasoning over knowledge, which is often expressed as if–then rules rather than traditional procedural code. The inference engine and the knowledge base are the two subsystems of an expert system. Facts and rules are represented in the knowledge base. The inference engine deduces new facts by applying the rules to known facts. Explanation and debugging features can be added to inference engines. An artificial system is a machine or a computer program that can think, work, learn, and respond in the same way as people do. Expert systems are the most effective example of Artificial system capabilities. The application of methods based on human intelligence to tackle complicated problems.







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