AIML3

Which of the following best describes a rational agent?

• One that always knows the future outcomes

• One that always does the right thing based on what it knows

• One that acts randomly but learns later

• One that only imitates human behavior

The performance measure of a rational agent depends on:

• The agent’s goals and available information

• The number of sensors used

• The agent’s physical appearance

• The speed of the processor

A vacuum cleaner agent that cleans efficiently while using less power and making less noise is an example of:

• Acting humanly

• Acting rationally

• Thinking humanly

• Omniscient agent

An omniscient agent is one that:

• Learns from its experience

• Knows the actual outcome of all actions

• Acts randomly to test results

• Only performs when told by humans

Rationality does not require omniscience because:

• Agents can make good decisions with incomplete knowledge

• Rational agents can predict the future perfectly

• Learning replaces the need for information

• Omniscience slows down decision-making

Which of the following best describes learning in an intelligent agent?

• Acting without feedback

• Improving performance using experience and feedback

• Randomly changing actions

• Always depending on a programmer

An agent is said to be autonomous when:

• It acts only on pre-programmed rules

• It performs tasks without any sensors

• Its actions depend on its own experience and learning

• It relies completely on human control

A self-driving car is an example of which environment property?

• Fully observable
  

• Static

• Partially observable

• Deterministic

Which property describes an environment that changes while the agent is making decisions?

• Static

• Dynamic

• Episodic

• Discrete

Chess is an example of which environment?

• Partially observable and dynamic

• Fully observable and deterministic

• Partially observable and stochastic

• Fully observable and stochastic