Unit 2-Intelligent Agent

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

• A) memory, processors

• B) environment, actuators

• C) data, algorithms

• D) input, output

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

• • A) Percept function

• • C) Action function

• • B) Agent function

• • D) Reflex function

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

• • A) Sensors

• • B) Actuators

• • C) Environment

• • D) Agent function

What is a rational agent?

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

• • B) One that learns from past mistakes

• • C) One that can explain its actions

• • D) One that is human-like

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

• • A) Deterministic

• • B) Static

• • C) Dynamic

• • D) Episodic

The performance measure of an agent defines:

• • A) How the environment works

• • B) How well the agent performs

• • C) The architecture of the agent

• • D) The learning algorithm

Rationality depends on all of the following EXCEPT:

• • A) The performance measure

• • B) The agent's prior knowledge

• • C) The agent’s actions

• • D) The agent’s emotions

Which of the following best describes a rational agent?

• • A) Acts randomly to avoid patterns

• • B) Selects actions expected to maximize performance

• • C) Always delays decisions to gather more data

• • D) Tries to mimic human behavior exactly

In a stochastic environment:

• • A) The outcome is always certain

• • B) The outcome is partly random

• • C) The environment never changes

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

An episodic environment means:

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

• • B) Each episode is independent of others

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

• • D) The environment never resets