Question 1

_____ use patterns to find solutions instead of using the if-then-else rules that expert systems use.
A)Virtual reality simulators
B)Artificial neural networks
C)Turing machines
D)Heuristic machines

Accepted Answer

Artificial neural networks use patterns to find solutions by learning from data, which is different from the rule-based approach of expert systems that rely on predefined if-then-else rules.

Question 2

_____ was developed so that users could communicate with computers in human language.
A)Cryptanalysis
B)Natural-language processing
C)Context-aware software
D)Personal agent technology

Accepted Answer

Natural-language processing (NLP) was developed to enable computers to understand and interpret human (natural) language, allowing users to communicate with computers as if they were communicating with another person.

Question 3

Which system carries the idea of GPS service further than simply telling you which route to take to arrive at a particular place?
A)Apple's Siri
B)Google Chat
C)Yahoo's doodle pad
D)YouTube

Accepted Answer

Apple's Siri incorporates GPS functionality but also offers a wide range of voice-activated services, including navigation, which goes beyond basic GPS services by integrating with other apps and services for a more comprehensive assistance.

Question 4

Adding deductive reasoning to traditional database management system (DBMS)functions is a benefit of integrating an expert system into the database component of a(n)_____ system.
A)transaction processing
B)decision support
C)global positioning
D)executive information

Accepted Answer

Integrating an expert system into a decision support system enhances its ability to analyze data and make informed decisions by adding deductive reasoning capabilities, which is crucial for decision-making processes.

Question 5

_____ are networks that learn and are capable of performing tasks that are difficult with conventional computers.
A)Storage area networks
B)Artificial neural networks
C)Enterprise private networks
D)Virtual private networks

Accepted Answer

Artificial neural networks are designed to simulate the way the human brain analyzes and processes information. They are capable of learning and performing complex tasks that are challenging for traditional computer algorithms, making them a key technology in the field of artificial intelligence.

Question 6

_____ is a process and procedure by which knowledge is gained through experience.
A)Data mining
B)Forward chaining
C)Machine learning
D)Backward chaining

Accepted Answer

Machine learning is the process and procedure by which computers gain knowledge or improve their performance based on their experiences without being explicitly programmed for those tasks.

Question 7

The size and complexity of the human language has made developing _____ systems difficult.
A)natural-language processing
B)database management
C)human biometric
D)virtual-reality language learning

Accepted Answer

The size and complexity of human language have made developing natural-language processing (NLP) systems difficult because NLP involves the interaction between computers and humans using the natural language. The complexity of human language includes nuances, idioms, slang, and variations in grammar and syntax, which are challenging for computers to understand and process accurately.

Question 8

Learning capabilities can be added to a decision support system (DSS)by integrating it with a(n)_____.
A)expert system
B)ANN
C)database management library
D)natural-language processing system

Accepted Answer

Integrating an Artificial Neural Network (ANN) with a Decision Support System (DSS) can add learning capabilities, as ANNs are designed to learn from data and improve decision-making processes.

Question 9

In the context of fuzzy logic, which defines membership in a black-or-white fashion?
A)A crisp set
B)A coded set
C)A mutable set
D)A dynamic set

Accepted Answer

A crisp set defines membership in a black-or-white fashion, meaning an element either belongs to the set or does not, with no in-between, unlike fuzzy sets which allow for degrees of membership.

Question 10

A natural-language processing (NLP)system provides a question-and-answer setting that is particularly useful with _____.
A)turing machines
B)simulations
C)databases
D)virtual terminals

Accepted Answer

NLP systems excel in extracting information from and interacting with databases through a question-and-answer format, allowing users to query data in natural language.

Question 11

Which is a type of artificial neural network (ANN)that includes many layers to deal with complex problems that may have very large data sets?
A)Virtual computing
B)Sparse sampling
C)Compressive sensing
D)Deep learning

Accepted Answer

Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. It includes many layers of processing to deal with complex problems and very large data sets, making it distinct from other types of artificial neural networks that might have fewer layers.

Question 12

GeneHunter is a hybrid product that combines artificial intelligence (AI)technologies using _____.
A)natural-language processing
B)speech systems
C)genetic algorithms
D)biometric systems

Accepted Answer

GeneHunter is a hybrid product that combines artificial intelligence technologies using genetic algorithms, which are search heuristics inspired by the process of natural selection in biological evolution. These algorithms are used to solve optimization and search problems.

Question 13

Explanation capabilities can be added to a decision support system (DSS)by integrating it with a(n)_____.
A)expert system
B)artificial neural network
C)database management library
D)natural-language processing system

Accepted Answer

Integrating an expert system with a DSS can provide explanation capabilities, as expert systems are designed to mimic human reasoning and can explain their decision-making process.

Question 14

In the context of adding artificial intelligence (AI)technologies to a decision support system's model base component, _____ can be added to include heuristics in the model base's analysis capabilities.
A)expert systems
B)firmware
C)spyware
D)virtual reality systems

Accepted Answer

Expert systems are a form of artificial intelligence that emulate the decision-making ability of a human expert. By incorporating expert systems into the model base of a decision support system, it can include heuristics, or "rules of thumb," in its analysis, enhancing its decision-making capabilities.

Question 15

Which statement is true of integrating an expert system into the database component of a decision support system (DSS)?
A)It adds the capability to handle uncertainty
B)It reduces access speed.
C)It adds inductive reasoning to traditional database management system functions.
D)It complicates query operations.

Accepted Answer

Integrating an expert system into a DSS adds the capability to handle uncertainty, as expert systems are designed to mimic human decision-making and can manage uncertain or incomplete information.

Question 16

In the context of machine learning, an artificial neural network (ANN)is most likely used for:
A)oil and gas exploration.
B)portfolio development and analysis.
C)problems that require the use of if-then-else rules.
D)supplying explanations for solutions.

Accepted Answer

The answer of In the context of machine learning, an...

Question 17

Which statement is true of integrating an expert system into the database component of a decision support system (DSS)?
A)It reduces access speed.
B)It adds the capability to handle fuzzy data.
C)It adds inductive reasoning to traditional database management system functions.
D)It increases the time and cost of calculating data for models.

Accepted Answer

Integrating an expert system into a DSS allows it to handle fuzzy data, which is data that is not precise or is uncertain, enhancing the system's ability to make decisions based on incomplete or ambiguous information.

Question 18

_____ is designed to help computers simulate vagueness and uncertainty in common situations.
A)Virtual reality
B)Nanotechnology
C)Fuzzy logic
D)Turing machine

Accepted Answer

Fuzzy logic is designed to help computers simulate vagueness and uncertainty in common situations, allowing for more human-like reasoning and decision-making by handling imprecise information.

Question 19

TVs that adjust screen color and texture for each frame and stabilize the volume based on the viewer's location in the room demonstrates the use of _____.
A)fuzzy logic
B)finite automata
C)artificial neural capabilities
D)virtual reality simulations

Accepted Answer

Fuzzy logic is used in systems that need to handle imprecise inputs and make decisions based on them, such as adjusting screen color and volume based on varying conditions like viewer location.

Question 20

_____ are used with neural networks and fuzzy logic systems to solve scheduling, engineering design, and marketing problems.
A)Quick response codes
B)Biometric systems
C)Genetic algorithms
D)Feasibility prototypes

Accepted Answer

Genetic algorithms are computational models inspired by natural evolution. They are used with neural networks and fuzzy logic systems to solve complex problems such as scheduling, engineering design, and marketing by evolving solutions over generations.

Quiz 13: Artificial Intelligence and Automation

_____ use patterns to find solutions instead of using the if-then-else rules that expert systems use.

_____ was developed so that users could communicate with computers in human language.

Which system carries the idea of GPS service further than simply telling you which route to take to arrive at a particular place?

Adding deductive reasoning to traditional database management system (DBMS) functions is a benefit of integrating an expert system into the database component of a(n) _____ system.

_____ are networks that learn and are capable of performing tasks that are difficult with conventional computers.

_____ is a process and procedure by which knowledge is gained through experience.

The size and complexity of the human language has made developing _____ systems difficult.

Learning capabilities can be added to a decision support system (DSS) by integrating it with a(n) _____.

In the context of fuzzy logic, which defines membership in a black-or-white fashion?

A natural-language processing (NLP) system provides a question-and-answer setting that is particularly useful with _____.

Which is a type of artificial neural network (ANN) that includes many layers to deal with complex problems that may have very large data sets?

GeneHunter is a hybrid product that combines artificial intelligence (AI) technologies using _____.

Explanation capabilities can be added to a decision support system (DSS) by integrating it with a(n) _____.

In the context of adding artificial intelligence (AI) technologies to a decision support system's model base component, _____ can be added to include heuristics in the model base's analysis capabilities.

Which statement is true of integrating an expert system into the database component of a decision support system (DSS) ?

In the context of machine learning, an artificial neural network (ANN) is most likely used for:

Which statement is true of integrating an expert system into the database component of a decision support system (DSS) ?

_____ is designed to help computers simulate vagueness and uncertainty in common situations.

TVs that adjust screen color and texture for each frame and stabilize the volume based on the viewer's location in the room demonstrates the use of _____.

_____ are used with neural networks and fuzzy logic systems to solve scheduling, engineering design, and marketing problems.