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Expert System - Artificial Intelligence - Exam, Exams of Artificial Intelligence

Kalinga Institute of Industrial TechnologyArtificial Intelligence

Main points of this exam paper are: Expert System, Artificial Neural Network, Genetic Algorithms, Evolutionary Strategies, Bayesian Reasoning, Uncertainty

Typology: Exams

2012/2013

Uploaded on 04/08/2013

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CS 335-31 - Artificial Intelligence
Exam 1
March 11, 2004
1. Explain, in a couple of sentences, what an expert system is. Give an example of an
application for an ES
2. How can an Artificial Neural Network be used to complement an Expert System?
3. What are the main differences between Genetic Algorithms and Evolutionary Strategies?
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CS 335-31 - Artificial Intelligence Exam 1 March 11, 2004

  1. Explain, in a couple of sentences, what an expert system is. Give an example of an application for an ES
  2. How can an Artificial Neural Network be used to complement an Expert System?
  3. What are the main differences between Genetic Algorithms and Evolutionary Strategies?
  1. Define a set of at least five (5) rules and show an instance of forward chaining (for simplicity limit each rule to the form “If A and B THEN C”
  2. What are the main conflicts that can arise in an expert system when the number of rules becames large? How can that conflict be solved?
  3. What is the main formula to apply in Bayesian Reasoning? Given the following rule:

IF A is True THEN X is True (with p = .45) If we know that P (A/X) = .62, P (A/¬X) = .38, and P (X) = .60 what is the value of P (X/A)?

  1. Select a domain for an expert system. Define each of the steps that will be required to create it. Sketch an example of types of rules to be used (related to your selected domain). How would you handle uncertainty? why?