Project #77655 - CST 196. Intelligent Systems

CST 196 Exam 4 26 Unanswered           

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Q1. Most expert systems are limited to a narrow domain.
    a. true
    b. false

Q2. Expert systems are called expert because they require a domain expert.
    a. true
    b. false

Q3. Intuitive rules of thumb are referred to as algorthistics.
    a. true
    b. false

Q4. Efficiency is a major goal of expert systems.
    a. true
    b. false

Q5. Most of the knowledge within an organization is contained with a few experts.
    a. true
    b. false

Q6. A distinguishing feature of an expert system is that it involves knowledge processing.
    a. true
    b. false

Q7. Inferencing in AI is done from:
    a. algorithms.
    b. facts, rules and heuristics.
    c. cognitive subsystems.
    d. long-term memory.
    e. short-term memory.

Q8. Knowledge, rather than data or information, is a key concept of AI.
    a. true
    b. false

Q9. The primary objective of AI is to build computer systems that perform tasks that can be characterized as intelligent.
    a. true
    b. false

Q10. Expert systems are primarily only used for prediction systems.
    a. true
    b. false

Q11. Expert systems typically deal with qualitative data easily.
    a. true
    b. false

Q12. The inference engine performs the reasoning in an expert system.
    a. true
    b. false

Q13. The knowledge base of an expert system is the same as a knowledge repository in a knowledge management system.
    a. true
    b. false

Q14. Fuzzy logic is a procedure developed to process complex mathematical equations.
    a. true
    b. false

Q15. Artificial Intelligence typically uses numeric data representation
    a. true
    b. false

Q16. Genetic algorithms and intelligent agents are essentially the same thing.
    a. true
    b. false

Q17. Validation of the knowledge base is the exclusive responsibility of the knowledge engineer.
    a. true
    b. false

Q18. One of the problems with using multiple expert scenarios is that as a result of more experts, there tends to be more mistakes.
    a. true
    b. false

Q19. The personality of a knowledge engineer can have a direct influence on experts who are contributing to a knowledge base.
    a. true
    b. false

Q20. Protocol tracking is a technique used to track the reasoning process of an expert.
    a. true
    b. false

Q21. Knowledge stored by human experts is typically structured.
    a. true
    b. false

Q22. Surface knowledge deals with specific situations.
    a. true
    b. false

Q23. Metaknowledge is data about knowledge.
    a. true
    b. false

Q24. Automated knowledge acquisition methods are easier to validate and verify than manual methods.
    a. true
    b. false

Q25. Knowledge engineering typically involves acquiring knowledge from experts.
    a. true
    b. false

Q26. Knowledge acquisition is always acquired through structured interviews.
    a. true
    b. false

Q27. There is a relationship between Mid-East oil production and the price of gasoline is an example of declarative knowledge.
    a. true
    b. false

Q28. Inheritance means:
    a. the ability of an object to inherit characteristics of an object higher in its hierarchy.
    b. the relationships of the links to the nodes.
    c. the relationship of the immediate sub-goals to goals.
    d. the ability to link to inherited characteristics from a related node.
    e. the ability of a node to communicate characteristics from a related node.

Q29. Acquiring knowledge is easy; managing knowledge is difficult.
    a. true
    b. false

Q30. Deduction is the process of reasoning from the specific to the general.
    a. true
    b. false

Q31. Knowledge is a collection of facts, procedures, or judgment rules.
    a. true
    b. false

Q32. All knowledge can be represented by rules.
    a. true
    b. false

Q33. Machine learning describes how a computer system learns from experience.
    a. true
    b. false

Q34. The primary knowledge element in case-based reasoning is the rule base.
    a. true
    b. false

Q35. One of the advantages of the case-based reasoning approach is that learning can occur from failures as well as successes.
    a. true
    b. false

Q36. Genetic algorithms are evolutionary in nature.
    a. true
    b. false

Q37. Case-based reasoning relies on indexing new events for subsequent usage.
    a. true
    b. false

Q38. Unsupervised learning is a process of inducing knowledge from a set of observations.
    a. true
    b. false

Q39. Case-based reasoning is appropriate when the problem domain is already precedent based.
    a. true
    b. false

Q40. Machines learn in a manner similar to people.
    a. true
    b. false

Q41. Case-based reasoning cannot be used for medical diagnosis because no two illnesses are every truly identical.
    a. true
    b. false

Q42. Fuzzy logic is designed primarily to handle structured problems that are repetitive in nature.
    a. true
    b. false

Q43. Machine learning is used in knowledge acquisition, inferencing, and problem solving.
    a. true
    b. false

Q44. Modification rules determine the scope of change when using an historical case to evaluate a new problem.
    a. true
    b. false

Q45. A chromosome in a genetic algorithm refers to:
    a. crossover.
    b. summation.
    c. mutation.
    d. a candidate solution.
    e. a generation.

Q46. Inductive learning allows the computer to use historical cases to solve new problems.
    a. true
    b. false

Q47. Most complex neural networks require virtually no hidden layers, relying instead on a large number of input and output layers.
    a. true
    b. false

Q48. The most widely used supervised learning algorithm in neural computing is forward neural propagation.
    a. true
    b. false

Q49. Connection weights express the relative strength of the input data or the connections that transfer from layer to layer.
    a. true
    b. false

Q50. A recurrent layer is one in which activity must go through the network more than once.
    a. true
    b. false



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