Wayground logo

Free Printable Worksheets

Font size

S
M
L
XL
Worksheets

MIS final 2

Total questions: 26

Worksheet time: 13mins

Name
Class
Date
1.

Intelligent agents demonstrate _____, which is the ability to select problems or situations that need attention and act on them.

a)

adaptability

b)

collaborative behavior

c)

humanlike interface

d)

Reactivity

2.

The _____ characteristic of an intelligent agent demonstrates the agent’s ability to migrate from one platform to another with a minimum of human intervention.

a)

reactivity

b)

adaptability

c)

autonomy

d)

Mobility

3.

The _____ characteristic of an intelligent agent demonstrates its ability to learn from previous knowledge and go beyond information given previously.

a)

autonomy

b)

Adaptability

c)

reactivity

d)

mobility

4.

In a transaction-processing system, if you enter a customer account number, the system displays the customer’s current balance. In this scenario, _____ decision-making analysis has been used to display the desired results.

a)

if-else

b)

if-continue

c)

what-if

d)

what-is

5.

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.

6.

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.

7.

The _____ characteristic of a sophisticated intelligent agent demonstrates its ability to interact with users in a more natural language.

a)

humanlike interface

b)

adaptability

c)

collaborative behavior

d)

reactivity

8.

In a loan evaluation expert system, the _____ states why an applicant was approved or rejected.

a)

explanation facility

b)

user interface

c)

inference engine

d)

meta-knowledge

9.

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

10.

Fuzzy logic allows computers to ______ in a similar fashion to humans.

a)

Reason

b)

speak

c)

travel

d)

remember

11.

In the forward chaining technique, used by the inference engine component of an expert system, the _____ condition is evaluated first.

a)

If

b)

then

c)

what-is

d)

what-else

12.

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

13.

Which is true of case-based reasoning (CBR)?

a)

It solves a problem by going through a series of if-then-else rules.

b)

Each problem and its corresponding solution are stored on a global network.

c)

Each case in a database shares a common description and keyword.

d)

It matches a new problem with a previously solved problem and its solution.

14.

In fuzzy logic, a degree of membership indicates _______.

a)

how to solve a problem

b)

whether a series of actions will result in a solution

c)

whether the answer is yes or no

d)

how relevant an item or object is to a set

15.

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

a)

Virtual reality

b)

Nanotechnology

c)

Fuzzy logic

d)

Turing machine

16.

In design and implementation of any _____ reasoning application, there are 4 Rs involved: retrieve, reuse, revise, and retain.

a)

rule-based

b)

adductive

c)

deductive

d)

case-based

17.

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

18.

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

19.

Data-mining agents work with a _____, detecting trends and discovering new information and relationships among data items that were not readily apparent.

a)

data warehouse

b)

knowledge base

c)

data catalog

d)

knowledge hub

20.

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.

21.

Which is true of personal robots?

a)

They have limited mobility.

b)

They have sensory capabilities.

c)

They have no speech capabilities.

d)

They are used mostly in the manufacturing industry.

22.

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

23.

Which component of an expert system uses forward and backward chaining to manipulate a series of rules?

a)

An explanation facility

b)

A knowledge base

c)

A user interface

d)

An inference engine

24.

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

25.

In the backward chaining technique, used by the inference engine component of an expert system, the expert system starts with the goal, which is the _____ part, and backtracks to find the right solution.

a)

if

b)

Then

c)

else

d)

what-is

26.

Learning takes place within the _____ layer of an artificial neural network.

a)

output

b)

input

c)

Middle

d)

newest