This quiz by Navid Saqib focuses on Expert Systems within AI, covering advantages, disadvantages, and operational mechanics in specific industrial applications.
Human expert enter all the facts and rules in knowledge base time to time .normal user using interface answer multipule questions drived by explanation system .answers are taken in inferece engine for possible matches based on forward and backword chaining .if any further question and answering is required explanations system display it on screen using user interface.if any new facts or information which is not avaiable in knowledge based is finded through knowledge base editor it is interted in KBS
User enter information through user interface and taken into explanation system to be stored as facts and when users ask for facts its will be drived by inference engine to display on screen where as when ever user needs any knowledge it will be obtained from knowledge editor
None of above
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Human experts got a wide range of sensory experience where expert systems are currently dependent on symbolic input.
Human experts automatically adapt to changing environments where expert systems must be updated.
Boring in usage no new task in it
Expert system follow rules these dont have common sense like humans
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An expert system can be available 24 hours a day 365 days a year.
Expert systems contain the knowledge of many human experts.
Documentation - An expert system can provide permanent documentation of the decision process where human need time to do so , even Training of new human experts will be easy
Production will be Faster with less chances of errors in finish product
No need for humans resource quality insurance
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