Question 1

Which of the following is a use of genetic algorithms?
A)Identifying income categories
B)Designing processes
C)Financial analysis
D)Preventing money-laundering

Accepted Answer

Genetic algorithms are often used in designing processes, such as optimizing manufacturing processes or developing efficient computer algorithms. They do not have direct applications in identifying income categories, financial analysis, or preventing money-laundering.

Question 2

Which of the following is a use of fuzzy logic?
A)Combatting fraud
B)Designing processes
C)Internet searches
D)Optimizing store displays

Accepted Answer

The answer of Which of the following is a use...

Question 3

Machine learning systems often use _________ to learn from data.
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks

Accepted Answer

Neural networks are a common type of machine learning system that can learn from data through training. They are designed to mimic the way the human brain processes information and can identify patterns and relationships in complex datasets. Expert systems rely on rules and knowledge provided by experts, fuzzy logic involves representing uncertainty and imprecision in data, and genetic algorithms are used for optimization problems. While these may also be used in machine learning, neural networks are typically the most commonly used method for learning from data.

Question 4

_______________ are "trained" by being fed large amounts of data and rules about data relationships.
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks

Accepted Answer

Neural networks are "trained" by being fed large amounts of data and rules about data relationships. They are designed to simulate the way the human brain works, with interconnected nodes that process information and "learn" from the input data. The more data the network is trained on, the better it becomes at recognizing patterns and making predictions. Expert systems, fuzzy logic, and genetic algorithms are also types of artificial intelligence, but they are not specifically trained using large amounts of data like neural networks.

Question 5

___________ uses fuzzy logic.
A)Amazon
B)Facebook
C)Google
D)Twitter

Accepted Answer

Google uses fuzzy logic in various applications, such as search algorithms and AI systems, to handle uncertain or imprecise information.

Question 6

Neural networks are best used for analyzing ________ data.
A)complex, complete
B)complex, incomplete
C)simple, complete
D)simple, incomplete

Accepted Answer

Neural networks are best at handling complex data that is incomplete. They can learn patterns and relationships in the data, and can work well even when there is missing information or noise in the data. Therefore, option B is the best choice.

Question 7

____________________ randomly tries combinations and then evaluates the success or failure of each outcome.
A)Crossover
B)Expertise
C)Mutation
D)Selection

Accepted Answer

This describes the process of mutation which involves randomly altering the genetic material and evaluating the outcome. Crossover involves combining genetic material from two parent organisms, expertise refers to skill or knowledge in a particular area, and selection involves choosing the best individuals for breeding based on certain traits.

Question 8

Genetic algorithms are most often utilized in the __________ department.
A)Accounting
B)Customer service
C)Human resources
D)Operations

Accepted Answer

Genetic algorithms are most often utilized in the Operations department for optimization problems such as scheduling, routing, and inventory management.

Question 9

A genetic algorithm is a(n)___________ method.
A)Biological
B)Minimizing
C)Optimizing
D)Philosophical

Accepted Answer

Genetic algorithms are a type of optimization method that uses principles from biology and evolution to search for solutions to problems by mimicking natural selection and mutation. The goal is to find the best possible solution to a problem by continually refining the search process. Therefore, the correct answer is C) Optimizing.

Question 10

_______________ is best for handling "gray" decision-making problems.
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks

Accepted Answer

Fuzzy logic is the best choice for handling "gray" decision-making problems because it allows for partial truths and uncertainty. It can handle situations where there is not a clear-cut answer or where there are multiple possible outcomes. Expert systems, genetic algorithms, and neural networks are better suited for more structured, rule-based problems.

Question 11

Intelligent agents often use _________ behind the scenes.
A)expert systems and fuzzy logic
B)expert systems and genetic algorithms
C)fuzzy logic and neural networks
D)fuzzy logic and genetic algorithms

Accepted Answer

Expert systems use knowledge and rules to make decisions, while fuzzy logic allows for imprecise or uncertain information.

Question 12

Fuzzy logic is a branch of _________.
A)Computer science
B)Engineering
C)Mathematics
D)Philosophy

Accepted Answer

Fuzzy logic is primarily a branch of mathematics that deals with reasoning that is approximate rather than fixed and exact.

Question 13

If you want to evaluate the best product to market to your customers every month, you would use the __________ functional characteristic of a genetic algorithm.
A)Crossover
B)Expertise
C)Mutation
D)Selection

Accepted Answer

The selection functional characteristic of a genetic algorithm allows the algorithm to choose the best solution from a population of potential solutions. Therefore, if you want to evaluate the best product to market to your customers every month, using the selection characteristic would allow you to choose the best product based on certain criteria such as customer demand, profitability, and marketing potential. Crossover, mutation, and expertise are not as relevant to this specific scenario.

Question 14

Which of the following is NOT an example of a machine learning system?
A)Customer detection
B)Face recognition
C)Fraud detection
D)Spam recognition

Accepted Answer

Customer detection is not a standard term or application in machine learning, unlike the other options which are well-known machine learning applications.

Question 15

A(n)____________________ is a software program that assists you in performing repetitive computer-related tasks.
A)Expert system
B)Genetic algorithm
C)Intelligent agent
D)Neural network

Accepted Answer

An intelligent agent is a software program designed to perform specific tasks and automated processes for the user. It can operate independently and learn from the user's behavior to perform better and more efficiently. Therefore, it is the best fit for a program that assists in performing repetitive computer-related tasks.

Question 16

If a genetic algorithm recommends spending more on marketing and calling customers directly to improve product sales, you would be using the __________ functional characteristic of a genetic algorithm.
A)Crossover
B)Expertise
C)Mutation
D)Selection

Accepted Answer

The answer of If a genetic algorithm recommends spending more...

Question 17

Neural networks usually involve a _______ number of processors operating in _____.
A)large; parallel
B)large; real-time
C)small; parallel
D)small; real-time

Accepted Answer

Neural networks typically involve a large number of processors working in parallel. This parallel processing allows for fast and efficient computation, making neural networks suitable for tasks such as image recognition and natural language processing.

Question 18

Fuzzy logic is best for handling _________ data and decisions.
A)Partially structured
B)Semistructured
C)Structured
D)Unstructured

Accepted Answer

Fuzzy logic is particularly useful for handling unstructured data and decisions because it can manage uncertainty and imprecision, which are common in unstructured data.

Question 19

___________ are used to research diseases like Alzheimer's, Parkinson's, and epilepsy.
A)Expert systems
B)Genetic algorithms
C)Intelligent agents
D)Neural networks

Accepted Answer

Neural networks are a type of artificial intelligence that are modeled after the structure and function of the human brain. They are highly effective in analyzing large sets of data and identifying patterns, making them a valuable tool in medical research. By using neural networks, scientists can analyze vast amounts of data in order to better understand complex diseases like Alzheimer's, Parkinson's, and epilepsy, and develop new treatments and therapies to combat these conditions.

Question 20

Which of the following is a use of neural networks?
A)Designing processes
B)Identifying income categories
C)Optimizing store displays
D)Preventing money-laundering

Accepted Answer

The answer of Which of the following is a use...

Quiz 17: Technology Guide 4 : Intelligent Systems

Which of the following is a use of genetic algorithms?

Which of the following is a use of fuzzy logic?

Machine learning systems often use _________ to learn from data.

_______________ are "trained" by being fed large amounts of data and rules about data relationships.

___________ uses fuzzy logic.

Neural networks are best used for analyzing ________ data.

____________________ randomly tries combinations and then evaluates the success or failure of each outcome.

Genetic algorithms are most often utilized in the __________ department.

A genetic algorithm is a(n) ___________ method.

_______________ is best for handling "gray" decision-making problems.

Intelligent agents often use _________ behind the scenes.

Fuzzy logic is a branch of _________.

If you want to evaluate the best product to market to your customers every month, you would use the __________ functional characteristic of a genetic algorithm.

Which of the following is NOT an example of a machine learning system?

A(n) ____________________ is a software program that assists you in performing repetitive computer-related tasks.

If a genetic algorithm recommends spending more on marketing and calling customers directly to improve product sales, you would be using the __________ functional characteristic of a genetic algorithm.

Neural networks usually involve a ___ number of processors operating in _.

Fuzzy logic is best for handling _________ data and decisions.

___________ are used to research diseases like Alzheimer's, Parkinson's, and epilepsy.

Which of the following is a use of neural networks?