Expert systems are useful for making decisions based on a set of rules or knowledge within a specific domain. They are suitable for tasks such as medical diagnosis, financial planning, troubleshooting technical problems, and legal analysis. Expert systems work by applying deductive reasoning to data or input to recommend a course of action or provide insights based on predefined rules and algorithms.
What are the Pros and cons of expert systems in education?
List of Expert Systems# http://www.aiinc.ca/demos/whale.html # http://www.goodyeartires.com/
two purposes of an expert system
Anna Hart has written: 'Knowledge acquisition for expert systems' -- subject(s): Artificial intelligence, Expert systems (Computer science), Knowledge acquisition (Expert systems)
Kamran Parsaye has written: 'Expert Systems for Experts' -- subject(s): Expert systems (Computer science)
An expert system is a computer program that uses knowledge and reasoning techniques to solve complex problems. It is designed to mimic the problem-solving abilities and decision-making processes of a human expert in a specific domain. Expert systems are commonly used in areas such as healthcare, finance, and engineering to provide expert advice and make informed decisions.
A Decision Support System (DSS) is a computer-based tool that helps users make decisions using data analysis and modeling techniques. An Expert System is a computer program that mimics the decision-making abilities of a human expert in a particular field. Expert systems rely on rule-based reasoning and knowledge representation to provide solutions to specific problems.
List of Expert Systems# http://www.aiinc.ca/demos/whale.html # http://www.goodyeartires.com/
Bob Marley
Larry Kerschberg has written: 'Proceedings of the Second International Conference on Expert Database Systems (Benjamin/Cummings series in database systems and applications)' 'Expert Database Systems'
A general-purpose search mechanism could rely on elementary reasoning steps to find complete solutions and could use weak knowledge about domain. However, when weak methods failed, researchers finally realised that the only way to deliver practical results was to solve typical cases in narrow areas of expertise by making large reasoning steps.
Expert systems are computer programs designed to mimic the decision-making capabilities of a human expert in a specific domain. They use rules and algorithms to process knowledge and make recommendations or provide solutions. Expert systems are rule-based, utilize a knowledge base, and employ inference engines to draw conclusions.