Tech guide #4 - Rainer

Hyo runs an ice cream shop with her family. They need to train someone to close the store at the end of day. This process is an example of which type of intelligent system? a) Expert systems b) Neural network c) Fuzzy logic d) Genetic algorithms e) Intelligent agent

Answer: a

Which of the following is not a limitation of expert systems? a) Expert systems cannot work with incomplete or uncertain data. b) A process might contain too many rules to work as an expert system. c) A process might be too vague to work as an expert system. d) Decisions made by expert systems might be a potential liability. e) Expert systems need to learn from their own mistakes.

Answer: a

Which of the following statements is false? a) Expert systems cannot replace decision makers. b) Expert systems apply expertise in a specific domain. c) Expert systems capture the expertise from a domain expert (a person). d) Expert systems can be embedded in larger systems. e) Expert systems follow a logical path towards a recommendation.

Answer: a

Which of the following statements is false? a) Information agents search for information and store it for the user. b) Information agents are used by Google to surf the Web sites in Google's index. c) Monitoring-and-surveillance agents are also called predictive agents. d) Personal agents take action on behalf of the user. e) User agents automatically fill out forms on the Web from stored information.

Answer: a

Fuzzy logic could be used to define which of the following terms: a) Gender b) Moderate income c) Age d) Address e) Income

Answer: b

Which of the following is not a characteristic of natural intelligence? a) It is perishable from an organizational point of view. b) It is easy, fast, and inexpensive. c) It is erratic and inconsistent. d) It is highly creative. e) It makes use of a wide context of experiences.

Answer: b

Which of the following is not an expert system activity? a) Knowledge acquisition b) Knowledge domain c) Knowledge inferencing d) Knowledge representation e) Knowledge transfer

Answer: b

Expert systems: a) solve problems that are too difficult for human experts b) are based on procedural computer programming languages c) work in specific domains d) can apply to any business problem e) share characteristics with mainframe computing

Answer: c

Hyo runs an ice cream shop with her family. They just started letting customers fax in their ice cream orders. Sometimes the writing is hard to read, and Hyo's family has to guess what the customers have ordered based on what flavors the shop has. This process is an example of which type of intelligent system? a) Expert systems b) Neural network c) Fuzzy logic. d) Genetic algorithms e) Intelligent agent.

Answer: c

Which of the following is not a benefit of expert systems? a) increased output and productivity b) capture and dissemination of scarce expertise c) increased decision-making time d) reliability e) works with incomplete, uncertain information

Answer: c

Which of the following is not a characteristic of artificial intelligence? a) It is permanent. b) It is easy, fast, and inexpensive. c) It is highly creative. d) It tends to be effective only in narrow domains. e) It is consistent and thorough.

Answer: c

Which of the following is not a characteristic of genetic algorithms? a) Selection b) Crossover c) Transformation d) Mutation

Answer: c

Which of the following statements is false? a) An intelligent agent is a software program. b) Intelligent agents are also called bots. c) Intelligent agents are always helpful. d) Intelligent agents use export systems and fuzzy logic. e) Intelligent agents perform repetitive computer-related tasks.

Answer: c

An inference engine is: a) a data mining strategy used by intelligent agents b) the programming environment of an expert system c) a method of organizing expert system knowledge into chunks d) a methodology used to search through the rule base of an expert system e) the user interface of an expert system

Answer: d

Which of the following statements concerning expert systems is false? a) The knowledge base contains facts. b) The knowledge base contains rules. c) An expert system can explain its recommendation. d) The blackboard displays the recommendation. e) Expert systems cannot learn from their own mistakes.

Answer: d

_____ refer(s) to computer reasoning that deals with uncertainties by simulating the process of human reasoning. a) Expert systems b) Artificial neural networks c) Speech understanding systems d) Fuzzy logic e) Computer vision systems

Answer: d

Hyo runs an ice cream shop with her family. They have configured their computer to put any e-mail that contains the word "order" into a folder called Possible Orders. This process is an example of which type of intelligent system? a) Expert systems b) Neural network c) Fuzzy logic d) Genetic algorithms e) Intelligent agent

Answer: e

Which of the following statements is false? a) In genetic algorithms, crossover means combining portions of good outcomes. b) Generic algorithms are best suited for decision making where there are thousands of solutions. c) Users have to tell the generic algorithm what constitutes a "good" solution. d) In genetic algorithms, mutation means randomly trying combinations and evaluating the outcome. e) All of these statements are true.

Answer: e

T/F) A neural network has two layers of interconnected nodes.

False

T/F) Artificial intelligence is perishable, whereas natural intelligence is permanent from an organizational point of view.

False

T/F) It is difficult to document the knowledge of artificial intelligence, but it is easy to document the knowledge of natural intelligence.

False

T/F) One problem with expert systems is they decrease quality.

False

T/F) A genetic algorithm finds the combination of inputs that produces the best outputs.

True

T/F) An expert system has a knowledge base and an inference engine.

True

T/F) Expert systems attempt to mimic human experts by applying expertise in a specific domain.

True

T/F) Expertise refers to the extensive, task-specific knowledge acquired from training, reading, and experience.

True

T/F) Fuzzy logic defines subjective concepts.

True

T/F) Intelligent agents use expert systems and fuzzy logic to create their behavior.

True