17 terms

Expert Systems

A2 ICT Expert Systems Key Terms
STUDY
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Expert system
Computer system that seeks to mimic the knowledge and experience of a human expert, made up of knowledge and rules that can be used to diagnose a problem
Artifical intelligence
area of computer science focusing on creating machines that can engage on behaviours that humans consider intelligent
Feature of an expert system
Able to make decisions based on uncertain data
Feature of an expert system
limited to a particular subject or area of expertise
Feature of an expert system
Gives advice based on the answers given by the user
Feature of an expert system
Explains the reasoning behind its decision
Knowledge base
Knowledge and rules within an expert system - factual and heuristic
Heuristic
knowledge acquired through experience and reasoning
Inference engine
Asks the end user questions and based on their answers will follow lines of logic
User interface
asks the user questions and then gives an answer with a diagnosis
Application of an expert system
Medical diagnosis
Application of an expert system
Finance firm making decisions about loans/credit
Application of an expert system
Government services working out tax and benefits
Advantage of an expert system
Expert advice available all the time
Advantage of an expert system
Makes rational, objective decisions based on facts
Disadvantage of an expert system
Does not learn from mistakes unless user feedback and maintenance
Disadvantage of an expert system
A lot of effort and cost goes into making a good expert system
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