Exam 11: Automated Decision Systems and Expert Systems
Exam 1: An Overview of Business Intelligence, Analytics, and Decision Support70 Questions
Exam 2: Foundations and Technologies for Decision Making70 Questions
Exam 3: Data Warehousing70 Questions
Exam 4: Business Reporting, Visual Analytics, and Business Performance Management70 Questions
Exam 5: Data Mining70 Questions
Exam 6: Techniques for Predictive Modeling70 Questions
Exam 7: Text Analytics, Text Mining, and Sentiment Analysis70 Questions
Exam 8: Web Analytics, Web Mining, and Social Analytics70 Questions
Exam 9: Model-Based Decision Making: Optimization and Multi-Criteria Systems70 Questions
Exam 10: Modeling and Analysis: Heuristic Search Methods and Simulation70 Questions
Exam 11: Automated Decision Systems and Expert Systems70 Questions
Exam 12: Knowledge Management and Collaborative Systems70 Questions
Exam 13: Big Data and Analytics70 Questions
Exam 14: Business Analytics: Emerging Trends and Future Impacts70 Questions
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What are three components that may be included in an expert system in addition to the three major components found in virtually all expert systems?
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(Essay)
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Correct Answer:
•Knowledge acquisition subsystem
•Blackboard (workplace)
•Explanation subsystem (justifier)
•Knowledge-refining system
________ chaining is a goal-driven approach in which you start from an expectation of what is going to happen (i.e., hypothesis) and then seek evidence that supports (or contradicts) your expectation.
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(Short Answer)
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Correct Answer:
Backward
Rules derived from data ________ can be used effectively in automated decision systems.
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(Short Answer)
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Correct Answer:
mining
Once validated, the knowledge acquired from experts or induced from a set of data must be represented in a format that does not need to be understandable by humans but must be executable on computers.
(True/False)
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Inference rules and knowledge rules are both used to solve problems in a rule-based expert system.
(True/False)
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The case study on chemical, biological, and radiological agents shows that expert systems are widely used in high pressure situations where the human decision makers are confident in taking quick actions.
(True/False)
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While most first-generation Expert Systems (ES) use if-then rules to represent and store their knowledge, second-generation ES are more flexible in adopting multiple knowledge representation and reasoning methods.
(True/False)
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An ________ shell is a type of development tool that has built-in inference capabilities and a user interface, and is specifically designed for ES development.
(Short Answer)
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________ chaining is a data-driven approach in which we start from available information as it becomes available or from a basic idea, and then we try to draw conclusions.
(Short Answer)
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In the Clinical Decision Support System case study, what was the system's output?
(Multiple Choice)
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Inference rules, or ________ rules, offer advice on how to solve a problem, given that certain facts are known.
(Short Answer)
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________ is a collection of specialized facts, procedures, and judgment usually expressed as rules.
(Short Answer)
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Rich and Knight (1991) defined artificial intelligence as "the study of how to make people do things at which, at the moment, computers are better."
(True/False)
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Unlike human experts, expert systems do not need to explain their views, recommendations, or decisions.
(True/False)
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The development of expert systems is often described as a tedious process. What activities does it typically include?
(Essay)
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It is difficult to acquire knowledge from experts for all the following reasons EXCEPT
(Multiple Choice)
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________ is a collection of concepts and ideas that are related to the development of intelligent systems.
(Short Answer)
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The knowledge possessed by human experts is often lacking in ________ and not explicitly expressed.
(Short Answer)
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Knowledge acquisition from experts is a complex task that requires specialized expertise to conduct successfully.
(True/False)
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