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Artificial Intelligence CT-5

Total questions: 20

Worksheet time: 40mins

Name
Class
Date
1.

An expert system is a ___ which has the ability of decision-making like a human expert.

a)
  1. Computer system

b)
  1. Operating system

c)
  1. Transaction processing system

d)
  1. None of these

2.

The first expert system was created in the ___.

a)

1965

b)

1968

c)

1970

d)

1972

3.

___ are designed to solve complex problems by reasoning through bodies of knowledge.

a)
Expert systems
b)
  1. Operating systems

c)
  1. Transaction processing systems

d)
  1. Computer systems

4.

If a robot is able to change its own trajectory as per the external conditions, then the robot is considered as the__.

a)
  1. Mobile

b)

Non-Servo

c)
  1. Intelligent

d)

Open Loop

5.

The component of an Expert system is_________.

a)
  1. User Interface

b)

Inference Engine

c)
  1. Knowledge Base

d)
  1. All of the above

6.

The exploration problem is where______.

a)
  1. Agent contains the knowledge of State and actions.

b)
  1. Only actions are known to the agent.

c)
  1. Agent does not contain the knowledge of State and actions.

d)
  1. None of the above

7.

Expert system is branch of Artificial Intelligence.

a)

True

b)

False

8.

In LISP, the function returns t if <integer> is even and nil otherwise ___________.

a)

(even <integer>)

b)

(evenp <integer>)

c)

(numeven <integer>)

d)

(numnevenp <integer>)

9.

Tick all the advantages of an expert system

a)

Fewer employees could be needed (job loss)

b)

available 24 hours a day

c)

Initial cost of system is expensive

d)

can store more information than a human

e)

less human error

10.

In Expert System, Knowledge Acquisition means,

a)
  1. How to get required domain knowledge by the expert system

b)
  1. System maintenance

c)
  1. System implementation

d)
  1. None of the mentioned above

11.

In expert system Forward Chaining, is a strategy to answer the question, "___".

a)
  1. What can happen next?

b)
  1. What can happen previously?

c)
  1. Both A and B

d)
  1. All of the mentioned above

12.

Experts make decisions based on ___ information.

a)
  1. Numerical data

b)
  1. Qualitative & quantitative

c)
  1. Experimental information

d)
  1. None of the mentioned above

13.

The expert systems are incapable of ___.

a)
  1. Substituting human decision makers

b)
  1. Producing accurate output for inadequate knowledge base

c)
  1. Both A and B

d)
  1. None of these

14.

The ___ represents facts and rules.

a)
  1. Inference engine

b)
  1. Knowledge base

c)
  1. Operating system

d)
  1. None of these

15.

The first expert system was used to design the ___ in SID (Synthesis of Integral Design) software program.

a)
  1. Small-scale product

b)
  1. Large-scale product

c)
  1. Average-scale product

d)
  1. None of these

16.

Expert systems can be used to: Tick all that apply

a)

match people to jobs

b)

diagnose faults in car engines

c)

replace experts

d)

diagnose a patients illness

17.

The system that allows a computer to make decisions, such as in health care and financial advice is called

a)

Experiment system

b)

Expert system

c)
  1. Inference engine

d)
  1. Operating system

18.

Instead of representing knowledge in a relatively declarative, static way (as a bunch of things that are true), rule-based system represent knowledge in terms of___________ that tell you what you should do or what you could conclude in different situations.

a)

Raw Text
b)

b)

Summarized Text

c)

Collection of various Texts

d)

A bunch of rules

19.

Forward chaining systems are _____________ where as backward chaining systems are ___________

a)

Goal-driven, goal-driven

b)

Goal-driven, data-driven

c)

Data-driven, goal-driven

d)

Data-driven, data-driven

20.

A knowledge engineer has the job of extracting knowledge from an expert and building the expert system knowledge base.

a)

True

b)

False