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Unit 2-Intelligent Agent

Total questions: 25

Worksheet time: 9mins

Name
Class
Date
1.

An agent is anything that can be viewed as perceiving its _______ through sensors and acting upon that environment through _______.

a)

A) memory, processors

b)

B) environment, actuators

c)

C) data, algorithms

d)

D) input, output

2.

The function that maps a percept sequence to an action is called:

a)
  • A) Percept function

b)
  • C) Action function

c)
  • B) Agent function

d)
  • D) Reflex function

3.

Which of the following is NOT a component of an agent?

a)
  • A) Sensors

b)
  • B) Actuators

c)
  • C) Environment

d)
  • D) Agent function

4.

What is a rational agent?

a)
  • A) One that always achieves the highest performance measure

b)
  • B) One that learns from past mistakes

c)
  • C) One that can explain its actions

d)
  • D) One that is human-like

5.

An environment that does not change while an agent is deliberating is called:

a)
  • A) Deterministic

b)
  • B) Static

c)
  • C) Dynamic

d)
  • D) Episodic

6.

The performance measure of an agent defines:

a)
  • A) How the environment works

b)
  • B) How well the agent performs

c)
  • C) The architecture of the agent

d)
  • D) The learning algorithm

7.

Rationality depends on all of the following EXCEPT:

a)
  • A) The performance measure

b)
  • B) The agent's prior knowledge

c)
  • C) The agent’s actions

d)
  • D) The agent’s emotions

8.

Which of the following best describes a rational agent?

a)
  • A) Acts randomly to avoid patterns

b)
  • B) Selects actions expected to maximize performance

c)
  • C) Always delays decisions to gather more data

d)
  • D) Tries to mimic human behavior exactly

9.

In a stochastic environment:

a)
  • A) The outcome is always certain

b)
  • B) The outcome is partly random

c)
  • C) The environment never changes

d)
  • D) The agent always knows the next state exactly

10.

An episodic environment means:

a)
  • A) The agent's current action depends on the entire past

b)
  • B) Each episode is independent of others

c)
  • C) The agent must consider long-term consequences

d)
  • D) The environment never resets

11.

A fully observable environment provides:

a)
  • A) No information to the agent

b)
  • B) Partial information about the current state

c)
  • C) Complete information about the current state

d)
  • D) Only future state information

12.

Which type of environment is chess considered to be?

a)
  • A) Static and fully observable

b)
  • B) Dynamic and stochastic

c)
  • C) Partially observable and episodic

d)
  • D) None of the above

13.

The taxi-driving environment is:

a)
  • A) Static and deterministic

b)
  • B) Dynamic and partially observable

c)
  • C) Episodic and deterministic

d)
  • D) Fully observable and static

14.

An environment where other agents also exist and affect outcomes is called:

a)
  • A) Competitive

b)
  • B) Multi-agent

c)
  • C) Episodic

d)
  • D) Deterministic

15.
  • Which type of agent selects actions based on the current percept only?

a)
  • A) Learning agent

b)
  • B) Goal-based agent

c)
  • C) Simple reflex agent

d)
  • D) Utility-based agent

16.

Which agent type maintains some sort of internal state?

a)
  • A) Reflex agent with state

b)
  • B) Simple reflex agent

c)
  • C) Learning agent

d)
  • D) Random agent

17.

Which agent type explicitly considers future consequences of its actions?

a)
  • A) Reflex agent

b)
  • B) Goal-based agent

c)
  • C) Learning agent

d)
  • D) Table-driven agent

18.

Utility-based agents are designed to:

a)
  • A) Maximize a performance measure directly

b)
  • B) Achieve goals while considering preferences or happiness

c)
  • C) Memorize all percepts

d)
  • D) Perform random exploration

19.

Learning agents improve their performance:

a)
  • A) Without any feedback

b)
  • B) Through trial and error

c)
  • C) By following only static rules

d)
  • D) Only by observing other agents

20.

The agent’s sensors are responsible for:

a)
  • A) Taking actions

b)
  • B) Storing memory

c)
  • C) Perceiving the environment

d)
  • D) Defining goals

21.

The agent’s actuators are used to:

a)
  • Define utility functions

b)
  • Store experiences

c)
  • Process percepts

d)
  • Interact with the environment

22.

A partially observable environment requires an agent to:

a)
  • Maintain an internal state

b)
  • Ignore the environment

c)
  • Only perform reflex actions

d)
  • Always act randomly

23.

In a sequential environment:

a)
  • Each action is independent

b)
  • Future actions depend on past actions

c)
  • Actions have no long-term effects

d)
  • The agent does not require memory

24.

Which of these is NOT true about learning agents?

a)
  • A) They improve over time

b)
  • B) They require feedback

c)
  • C) They never change their behavior

d)
  • D) They adapt to new situations

25.

Goal-based agents need to know:

a)
  • A) Only the current percept

b)
  • B) How to achieve certain states

c)
  • C) Only the performance measure

d)
  • D) All possible percept sequences