1. Try out the Expert system introduction and Demo at the following location: http://www.expertise2go.com/webesie/tutorials/ESIntro/ . Post all your responses in the blog.
- Discuss briefly the difference between facts and knowledge
- Describe what is an expert.
- Describe the main components of a rule based expert system.
- What kind of problems make a good for computerized expert systems?
- What is meant by the term fuzzy logic, giving an example to support your meaning?
- Describe the roles of the groups of people who would be required for an expert system
Other resources
http://year12ipt.ash.com/untitled-7.html
http://pac-itgs.wikispaces.com/Artificial+Intelligence+and+Expert+Systems
http://easydiagnosis.com/
http://www.expertise2go.com/webesie/car/
http://www.mcgoo.com.au/SailsWeb/index.html
http://year12ipt.ash.com/index.html
Short Quiz
http://wps.prenhall.com/bp_beekman_compconf_7/29/7509/1922483.cw/index.html
1 comment:
just some answers
Q3- Describe the main components of a rule based expert system.
Knowledge base and inference engines
Knowledge base - stores all the facts and rules about a particular problem domain.
Inference engine provides the reasoning ability that enables the expert system to form conclusions.
Q 4 – does not make sense
Q5 - Fuzzy logic is a mathematical technique that deals with imprecise data and problems that have more than one solution. An example of a machine that uses fuzzy logic is an industrial clothes-washing machine. Using fuzzy logic systems, these machines detected and adapted to patterns of water movement during a wash cycle in order to decrease the consumption of water and increase efficiency.
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