Intelligent Agent

Question 1

What is an agent?

Answer 1

An agent is anything that can perceive its environment through sensors and acting upon the environment using actuators.

Question 2

Percept sequence

Answer 2

A complete history of everything that has been perceived by the agent.

Question 3

Agent function

Answer 3

Maps any given percept sequence to an action (Making any percept sequence into an action)

Question 4

Are body parts sensors?

Answer 4

NO LOL it is actuators.

Question 5

What are the sensors for a human agent

Answer 5

Eyes, ears, nose, other organs.

Question 6

What are the sensors for a robotic agent

Answer 6

Cameras, scanners, infrared range finders

Question 7

What are the actuators for a robotic agent

Answer 7

Various motors (robotic hands, legs etc)

Question 8

What specifies which actions an agent ought to take at any point of time?

Answer 8

Ideal Mapping

Question 9

What is a performance measure?

Answer 9

a SUBJECTIVE measure to characterize how successful an agent is.

Question 10

Explain the concept of rationality.

Answer 10

An agent should strive to do the right thing based on what it has perceived and what it can perform.

Question 11

What makes an agent the most successful?

Answer 11

When the agent does the right thing to do. (Rational)

Question 12

What is perfect rationality?

Answer 12

When the agent is assumed to always do the right thing and will take action that will maximize the utility. (utility: usefulness)

Question 13

How is rational different than perfect?

Answer 13

Rational agent would maximize the EXPECTED outcome meanwhile a Perfect agent would maximize the ACTUAL outcome.

Question 14

What is omniscience?

Answer 14

all-knowing with infinite knowledge

Question 15

A rational agent should be AUTONOMOUS. What is autonomous?

Answer 15

The behavior is determined by its own experience and the ability to learn and adapt

Question 16

What do PEAS stand for?

Answer 16

PERFORMANCE, ENVIRONMENT, ACTUATORS AND SENSORS.

Question 17

How does PEAS help is?

Answer 17

Peas can help us in specifying the SETTING for the intelligent agent design.

Question 18

How do we know if the agent is non-deterministic(stochastic)?

Answer 18

When there are aspects beyond the control of an agent. When this happens, the agents would have to guess the changes of the world.

Question 19

How do we know the agent is deterministic?

Answer 19

When the next state only depends on the current state and the agent’s action only.

Question 20

What is episodic?

Answer 20

Current action does not depend on the past

Question 21

Sequential?

Answer 21

Current action depends on the past and will also affect future actions.

Question 22

Differentiate between static, dynamic, and semi-dynamic,

Answer 22

Static: Environment won’t change. (One way to achieve the goal)
Dynamic: Environment changes
Semi-dynamic: Environment does not change but the agent’s performance does (There are various ways to achieve the goal, eg: Chess)

Question 23

Differentiate between discrete and continuous

Answer 23

Discrete is when all the states are LIMITED and has been clearly defined in the percept sequence of an agent meanwhile continuous is the opposite. Continuous would have unexpected states.

Question 24

is chess discrete or continuous?

Answer 24

Discrete since it only has a limited number of states