Need 3 CST 196 Done Today

Q1. The primary objective of AI is to build computer systems that perform tasks that can be characterized as intelligent.    a. true    b. false Q2. Genetic algorithms and intelligent agents are essentially the same thing.    a. true    b. false Q3. Expert systems are primarily only used for prediction systems.    a. true    b. false Q4. Artificial intelligence methods typically use algorithms to determine solutions to problems.    a. true    b. false Q5. A virus detection program is a good example of a genetic algorithm in action.    a. true    b. false Q6. Knowledge transfer from the expert to the expert system is subject to perceptual biases.    a. true    b. false Q7. The knowledge base of an expert system is the same as a knowledge repository in a knowledge management system.    a. true    b. false Q8. One generic category of expert systems is operations.    a. true    b. false Q9. AI is behavior by a machine that if performed by a human would be deemed intelligent.    a. true    b. false Q10. Intuitive rules of thumb are referred to as algorthistics.    a. true    b. false Q11. Fuzzy logic is a procedure developed to process complex mathematical equations.    a. true    b. false Q12. A distinguishing feature of an expert system is that it involves knowledge processing.    a. true    b. false Q13. Knowledge, rather than data or information, is a key concept of AI.    a. true    b. false Q14. Expert systems are called expert because they perform at an expert level of performance.    a. true    b. false Q15. It is easy to make rule changes to an expert system.    a. true    b. false Q16. The ability of a computer to communicate to a user in their native language is called normal language processing.    a. true    b. false Q17. Knowledge stored by human experts is typically structured.    a. true    b. false Q18. There is a relationship between Mid-East oil production and the price of gasoline is an example of declarative knowledge.    a. true    b. false Q19. If final average > 93 then your grade is an A; is an example of a declarative rule.    a. true    b. false Q20. If attribute definitions are incomplete, then request them from the end-user; is an example of an inference rule.    a. true    b. false Q21. Semantic networks are useful because they focus on the differences between concepts.    a. true    b. false Q22. The personality of a knowledge engineer can have a direct influence on experts who are contributing to a knowledge base.    a. true    b. false Q23. Deduction is the process of reasoning from the specific to the general.    a. true    b. false Q24. Automated knowledge acquisition methods are easier to validate and verify than manual methods.    a. true    b. false Q25. Procedural knowledge are a series of statements of facts.    a. true    b. false Q26. 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 Q27. It is possible to observe experts in action, because they really like to be observed.    a. true    b. false Q28. Knowledge engineering is the process of fixing knowledge management systems.    a. true    b. false Q29. 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. Q30. All knowledge can be represented by rules.    a. true    b. false Q31. Shallow knowledge considers the internal and causal structure of the knowledge.    a. true    b. false Q32. Surface knowledge deals with specific situations.    a. true    b. false Q33. The primary knowledge element in case-based reasoning is the rule base.    a. true    b. false Q34. Axons provide inputs to neurons, dendrites send output signals.    a. true    b. false Q35. Machines learn in a manner similar to people.    a. true    b. false Q36. Inductive learning allows the computer to use historical cases to solve new problems.    a. true    b. false Q37. Neural network testing is done by comparing its output to that of an expert. When the two are close enough, the neural network is accurate enough to be deployed.    a. true    b. false Q38. Most complex neural networks require virtually no hidden layers, relying instead on a large number of input and output layers.    a. true    b. false Q39. Connection weights express the relative strength of the input data or the connections that transfer from layer to layer.    a. true    b. false Q40. Machine learning is used in knowledge acquisition, inferencing, and problem solving.    a. true    b. false Q41. Modification rules determine the scope of change when using an historical case to evaluate a new problem.    a. true    b. false Q42. 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 Q43. The human brain is comprised of billions of cells called neurons, grouped in interconnected clusters.    a. true    b. false Q44. Unsupervised learning is a process of inducing knowledge from a set of observations.    a. true    b. false Q45. Case-based reasoning relies on indexing new events for subsequent usage.    a. true    b. false Q46. Machine learning utilizes historical cases.    a. true    b. false Q47. The most widely used supervised learning algorithm in neural computing is forward neural propagation.    a. true    b. false Q48. Machine learning and knowledge acquisition are essentially the same thing.    a. true    b. false Q49. Neural systems are comprised of processing elements called artificial neuritis.    a. true    b. false Q50. A chromosome in a genetic algorithm refers to:    a. crossover.    b. summation.    c. mutation.    d. a candidate solution.    e. a generation.