What is an Expert System?
Summary
TLDRThis video introduces expert systems, which are computer programs designed to emulate human decision-making. It explains the main components of expert systems: the knowledge base, rules base, inference engine, and user interface. The process of how these systems work is outlined, including how data is entered, rules are applied, and conclusions are drawn. Examples of expert system applications, such as car engine diagnostics and medical diagnosis, are discussed. The video also covers how expert systems are created, from collecting expert knowledge to designing and testing the system.
Takeaways
- 😀 An expert system emulates the decision-making abilities of a human expert to solve complex problems.
- 😀 Expert systems rely on a knowledge base (facts from human experts) and a rules base (inference rules, mainly if-then rules) to function.
- 😀 The inference engine acts like a search engine, applying rules to the knowledge base and providing conclusions or advice based on user queries.
- 😀 A user interface allows non-expert users to interact with the system by querying or asking questions, with answers provided through the system.
- 😀 Expert systems can also explain their reasoning process by tracing back the rules that were applied to reach a conclusion.
- 😀 The creation of an expert system involves collecting expert data, designing the knowledge base and rules base, and developing the user interface and inference engine.
- 😀 Expert systems can be applied to a wide range of fields, such as car engine diagnostics, medical diagnosis, mineral prospecting, chess games, and career advice.
- 😀 Car mechanics use expert systems to diagnose engine faults by inputting symptoms and receiving possible diagnoses based on a knowledge base and rules engine.
- 😀 In medical diagnosis, expert systems compare symptoms entered by users with known medical conditions and suggest potential diagnoses and advice.
- 😀 The creation of a medical diagnosis expert system involves interviews with doctors, data collection, system testing, and feedback from doctors about the system's effectiveness.
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