IS 300 AI TG4 HW & Quiz

________ are computer systems that attempt to mimic human experts by applying expertise in a specific domain. Machine learning systems Deep learning systems Expert systems Neural networks

Expert systems

Q TG4.10: One common usage of ________ agents is to help users find a product on a retailer's Web site. A : predictive B : personal C : buyer D : user

buyer

Natural intelligence is superior to artificial intelligence regarding ________. duplication of knowledge total cost of knowledge creativity preservation of knowledge

creativity

Q TG4.13: eBay is using _______ to categorize products in images posted and tagged by sellers. A : natural language processing B : deep learning C : computer vision D : buyer agency

deep learning

Q TG4.12: In banking, automated fraud detection systems use ________ to identify behavior patterns that could indicate fraudulent payment activity. A : natural language processing B : computer vision C : expert systems D : machine learning

machine learning

Artificial intelligence is superior to natural intelligence regarding ________. use of sensory experiences preservation of knowledge reasoning creativity

preservation of knowledge

___ is a capability performed relatively better by human intelligence than AI. Preservation of knowledge Documentability of process and knowledge Total cost of knowledge Use of sensory experiences

Use of sensory experiences

Q TG4.16: Medical imaging can improve the prediction, diagnosis, and treatment of diseases. This is an example of _______. A : machine learning B : natural language processing C : an expert system D : computer vision

computer vision

Q TG4.24: What probable impact will predictive agent technology have on the airline industry? A : Airfares will be set in a much larger range. B : Special offers will be matched by competition. C : Special offers will go unnoticed by travelers. D : Airlines will set their airfares closer to each other.

Airlines will set their airfares closer to each other.

Q TG4.19: ________ capable of beating pure chess-playing AI software. A : Centaurs are the most B : Centaurs are not C : Individuals are the most D : Individuals are equally (compared to centaurs)

Centaurs are the most

Facebook's facial recognition is an example of ___. Computer vision Natural image processing Speech recognition Natural language processing

Computer vision

________ refers to the ability of information systems to identify objects, scenes, and activities in images. Speech recognition Natural language processing Robotics Computer vision

Computer vision

Q TG4.29: You have to explain the capabilities of natural versus artificial intelligence. Your boss asks you to emphasize the capabilities for which natural intelligence is superior. Which of the following is the best way to present this to your boss? A : Creativity can be very high; use of sensory experiences is direct and rich in possibilities; recognizing patterns is fast and easy to explain (although computers are better in some cases); reasoning is high due to the ability to make use of a wide context of experiences B : Creativity can be very high; use of sensory experiences is direct and rich in possibilities; total cost of knowledge is consistent and thorough; documentation of process and knowledge is fairly easy and inexpensive C : Preservation of knowledge is permanent; duplication and dissemination of knowledge is easy, fast, and inexpensive; total cost of knowledge is consistent and thorough; documentation of process and knowledge is fairly easy and inexpensive D : Preservation of knowledge is permanent; duplication and dissemination of knowledge is easy, fast, and inexpensive; reasoning is high due to the ability to make use of a wide context of experiences

Creativity can be very high; use of sensory experiences is direct and rich in possibilities; recognizing patterns is fast and easy to explain (although computers are better in some cases); reasoning is high due to the ability to make use of a wide context of experiences

Q TG4.1: ________ is NOT a major category of intelligent systems. A : Genetic algorithms B : Grid computing C : Expert systems D : Fuzzy logic

Grid computing

Q TG4.23: While traditional moon landing missions were based on vehicles driven by humans, Mars landing missions involve unmanned rovers controlled by an autonomous AI-based navigation system. What is a disadvantage of this approach? A : Humans can overcome obstacles much more creatively than unmanned rovers. B : The knowledge of a human driver is more easily replicated than that of a navigation system. C : The cost of sending an unmanned vehicle to Mars is much higher than sending a human. D : Unmanned navigational capabilities are more exposed to moods and character traits.

Humans can overcome obstacles much more creatively than unmanned rovers.

A(n) ___ agent searches for information and displays it to users. Information User Predictive Personal

Information

Q TG4.26: You have to give a presentation on the different types of intelligent agents. Which of the following is the correct outline for this presentation? A : Information agents search for information and display it to users; other names for them include buyer agents or shopping bots. Monitoring and surveillance agents constantly observe and report on some item of interest; another name for them is predictive agents. User agents take action on your behalf; another name for them is personal agents. B : Information agents search for information and display it to users; another name for them is personal agents. Monitoring and surveillance agents constantly observe and report on some item of interest; another name for them is predictive agents. User agents take action on your behalf; other names for them include buyer agents or shopping bots. C : Information agents search for information and display it to users; other names for them include predictive agents or shopping bots. Monitoring and surveillance agents constantly observe and report on some item of interest; another name for them is buyer agents. User agents take action on your behalf; another name for them is personal agents. D : Information agents search for information and display it to users; another name for them is personal agents. Monitoring and surveillance agents constantly observe and report on some item of interest; another name for them is buyer agents. User agents take action on your behalf; other names for them include predictive agents or shopping bots.

Information agents search for information and display it to users; other names for them include buyer agents or shopping bots. Monitoring and surveillance agents constantly observe and report on some item of interest; another name for them is predictive agents. User agents take action on your behalf; another name for them is personal agents.

________ are software programs that assist human in performing repetitive computer-related tasks. Speech recognition applications Intelligent agents Natural language processing applications Robotic agents

Intelligent agents

TG4.8: A government agency is looking for a way to improve its forecasting of the housing market and is considering a solution based on a neural network. What advantage would this solution offer compared to traditional approaches? A : It will be good at recognizing subtle and newly emerging patterns within the complex data. B : It can be put to use right away without requiring any "training" on the data. C : It will be far cheaper to implement and maintain than any other data computing solution. D : It can provide the same prediction quality whether it is fed with data or not.

It will be good at recognizing subtle and newly emerging patterns within the complex data.

Q TG4.15: _________ systems have the ability to improve their performance by exposure to data without the need to follow explicitly programmed instructions. A : Natural language processing B : Machine learning C : Expert D : Computer vision

Machine learning

________ can learn from and make predictions about data using algorithms. Deep dive systems Neural networks Machine learning systems Expert systems

Machine learning systems

________ have the ability to improve their performance by exposure to data without the need to follow explicitly programmed instructions. Expert systems Deep dive systems Machine learning systems Neural networks

Machine learning systems

________ are a set of virtual neurons or CPUs that work in parallel in an attempt to simulate the way the human brain works, although in a greatly simplified form. Deep learning systems Neural networks Machine learning systems Expert systems

Neural networks

Q TG4.27: You have to explain the capabilities of natural versus artificial intelligence. Your boss asks you to emphasize the capabilities for which artificial intelligence is superior. Which of the following is the best way to present this to your boss? A : Preservation of knowledge is permanent; duplication and dissemination of knowledge is easy, fast, and inexpensive; reasoning is high due to the ability to make use of a wide context of experiences B : Creativity can be very high; use of sensory experiences is direct and rich in possibilities; total cost of knowledge is consistent and thorough; documentation of process and knowledge is fairly easy and inexpensive C : Creativity can be very high; use of sensory experiences is direct and rich in possibilities; recognizing patterns is fast and easy to explain (although computers are better in some cases); reasoning is high due to the ability to make use of a wide context of experiences D : Preservation of knowledge is permanent; duplication and dissemination of knowledge is easy, fast, and inexpensive; total cost of knowledge is consistent and thorough; documentation of process and knowledge is fairly easy and inexpensive

Preservation of knowledge is permanent; duplication and dissemination of knowledge is easy, fast, and inexpensive; total cost of knowledge is consistent and thorough; documentation of process and knowledge is fairly easy and inexpensive

Q TG4.6: Many companies are leveraging the Internet to offer learners of all ages a wide variety of remote learning services. What is a disadvantage of using an expert system to deliver each learner a training that is tailored to his/her specific needs? A : Programming the domain expertise into the expert systems may be difficult. B : The system can only provide the training in a single language. C : The tailored training quality will become inconsistent over time. D : The system will not be able to leverage cross-customer data to improve training.

Programming the domain expertise into the expert systems may be difficult.

Machine learning is still not as good as people in most cases but in some cases better than people in regard to ___. Documentability of process and knowledge Use of sensory experiences Duplication and dissemination of knowledge Recognizing patterns and relationships

Recognizing patterns and relationships

________ focuses on automatically and accurately transcribing human speech. Computer vision Natural language processing Robotics Speech recognition

Speech recognition

Q TG4.25: For its next moon mission, a space agency is considering equipping its unmanned moon vehicle with an autonomous AI-based navigation system. What are the advantages of this approach? (Select all that apply.) A : The navigational capabilities will be easy to replicate in future vehicle models. B : The unmanned navigation can leverage much higher creativity in overcoming obstacles. C : Documentation of the navigational algorithms is fairly easy. D : A computerized navigation uses visual sensors in a more direct way. E : The navigational knowledge can be improved at predictable costs.

The navigational capabilities will be easy to replicate in future vehicle models. Documentation of the navigational algorithms is fairly easy. The navigational knowledge can be improved at predictable costs.

Q TG4.5: What advantage do expert systems have compared to humans? A : They can integrate and manipulate much larger amounts of data. B : They are free from any legal liabilities. C : They can automatically figure out all necessary domain knowledge. D : They always include a knowledge-refining mechanism.

They can integrate and manipulate much larger amounts of data.

Q TG4.11: What is the biggest concern with using user agents? A : They cannot store user information for future use. B : They cannot always accurately guess what the user had in mind. C : They are not helpful in performing repetitive tasks. D : They cannot process electronic information.

They cannot always accurately guess what the user had in mind.

Q TG4.22: Which of the following is NOT a probable consequence of increasingly leveraging predictive agent technology in the travel industry? A : Airfares will be closer among airlines. B : Special offers will be replicated by competitors. C : Special offers will quickly spread through the market. D : Travelers will be less aware of special offers.

Travelers will be less aware of special offers.

Q TG4.21: Which type of an intelligent agent should an investment company employ to quickly learn about business rumors possibly affecting stock prices? A : an information agent B : a user agent C : a monitoring-and-surveillance agent D : a personal agent

a monitoring-and-surveillance agent

Q TG4.28: A research firm is looking for an AI-based system to help find relevant products and services on the Internet. Which of the following technologies would be the best to fulfill this need? A : an information agent B : a genetic algorithm C : a user agent D : a neural network

an information agent

Expert systems ___. can be used to support or replace decision makers are typically used to support an entire company are always used to support decision makers transfer expertise from a system to a domain expert

can be used to support or replace decision makers

Q TG4.17: Automatic facial recognition and tagging on Facebook is an example of ________. A : natural language processing B : an expert system C : computer vision D : machine learning

computer vision

Q TG4.20: IBM's Watson uses _________ to read and understand the vast amount of medical literature, hypothesis generation techniques to automate diagnoses, and machine learning to improve its accuracy. A : natural language processing B : computer vision C : the Turing test D : speech recognition

computer vision

Q TG4.14: It took Google one hour to map the exact location of every business, household, and street number in France. They used ________ to do this. A : expert systems B : computer vision C : natural language processing D : machine learning

machine learning

Deep learning systems are a subset of ________. machine learning systems neural networks decision support systems expert systems

machine learning systems

Q TG4.3: When performing tasks involving reasoning, what advantage would a person have over a computer? A : permanent preservation of knowledge B : fast knowledge duplication C : inexpensive documentability of knowledge D : making use of wide context of experiences

making use of wide context of experiences

Q TG4.9: Neural networks are NOT used for A : airline security. B : combating fraud. C : medical expertise. D : preventing money laundering.

medical expertise.

Q TG4.2: In contrast to natural intelligence, sensory experiences in artificial intelligence A : are an inherent capability. B : are not possible. C : must be interpreted first. D : have rich possibilities.

must be interpreted first.

Q TG4.30: A software firm is prototyping a fast and light-weight neural network system. Which of the below market needs would be the best match for their solution? A : matching user locations to nearby restaurants B : recognizing handwritten user input on mobile devices C : storing large knowledge bases for medical applications D : translating words from English to French

recognizing handwritten user input on mobile devices

Q TG4.7: Similar to a human brain, a neural network consists of A : a virtual thin client. B : several levels of interconnected nodes. C : a single processing unit connected to storage. D : isolated processing facilities.

several levels of interconnected nodes.

Q TG4.18: If a system is sentient, it is ________ AI. A : weak B : strong C : Broad D : narrow

strong

Q TG4.4: A large national utility corporation needs to optimize the dispatching and real-time management of hundreds of service crews that frequently require shared resources. What is its best approach in addressing the challenge? A : using an intelligent, self-learning system that considers all service needs, status of crews, and real-time resource usage to optimize dispatching schedules B : connecting all crews to a central collaboration system and allowing them to manage their own schedule and resources based on a first-come, first-serve model C : outsourcing its entire operations to multiple service management call centers, each managing only a small subset of the crews D : significantly extending its human operations team to better handle the ongoing cross-synchronization and team dispatching

using an intelligent, self-learning system that considers all service needs, status of crews, and real-time resource usage to optimize dispatching schedules