Day 4

Question 1

The Simple reflex agents are the simplest agents, These agents take decisions on the basis of the current percepts and ignore the rest of the percept history
1-True
2-False

Answer 1

True

Question 2

the agents only succeed in the fully observable environment.
1-Random Agent 
2-Table Driven Agent 
3-Simple Reflex Agent 
4-Model-based reflex agent

Answer 2

3-Simple Reflex Agent

Question 3

-------------- agent works on Condition-action rule, which means it maps the current state to action. Such as a Room Cleaner agent, it works only if there is dirt in the room.
1-Random Agent 
2-Table Driven Agent 
3-Simple Reflex Agent 
4-Model-based reflex agent

Answer 3

3-Simple Reflex Agent

Question 4

Problems for the simple reflex agent design approach:
      o They have very limited intelligence 
      o They do not have knowledge of non-perceptual parts of the 
              current state (another room state)
      o Not adaptive to changes in the environment.

Question 5

the agents have the model, “which is knowledge of the world” and based on the model they perform actions.
1-Model-based reflex agent
2-simple reflex agent

Answer 5

Model-based reflex agent

Question 6

A model-based agent has two important factors:
o Model: It is knowledge about “how things happen in the world,” so it is called a Model based agent.
o Internal State: It is a representation of the current state based on percept history.

Answer 6

Model + Internal State

Question 7

Updating the agent state requires information about:
o How the world evolves only
True
False

Answer 7

False
o How the world evolves
o How the agent’s action affects the world.

Question 8

The knowledge of the current state environment is not always sufficient to decide for an agent to what to do.
1-true
2-false

Answer 8

True

Question 9

The agent needs to know its goal which describes desirable situations.

Answer 9

True

Question 10

Goal based agents may have to consider a long sequence of possible actions before deciding whether the goal is achieved or not. Such considerations of different scenario are called searching and planning, which makes an agent proactive

Answer 10

True

Question 11

---------- agent act based not only goals but also the best way to achieve the goal.
1-Simple Reflex agent
2-Model-based reflex agent
3-Goal-based agent
4-Utility-based agent
5-Learning agent

Answer 11

Utility-based agen

Question 12

The utility function maps each state to a real number to check how efficiently each action achieves the goals

Answer 12

True

Question 13

A Goal-based agent in AI is the type of agent which can learn from its past experiences, or it has learning capabilities.
1-True
2-False

Answer 13

2-False

Learning

Question 14

----------  starts to act with basic knowledge and then able to act and adapt automatically through learning.
1-Simple Reflex agent
2-Model-based reflex agent
3-Goal-based agent
4-Utility-based agent
5-Learning agent

Answer 14

5-learning agent

Question 15

---------- Learning element takes feedback from critic which describes that how well the agent is doing with respect to a fixed performance standard.
1-Learning element
2-Critic
3-Performance element
4-Problem generator

Answer 15

2-Critic

Question 16

--------- it is responsible for making improvements by learning from environment
1-Learning element
2-Critic
3-Performance element
4-Problem generator

Answer 16

1-Learning element

Question 17

It is responsible for selecting external action.
1-Learning element
2-Critic
3-Performance element
4-Problem generator

Answer 17

3-Performance element

Question 18

This component is responsible for suggesting actions that will lead to new and informative experiences
1-Learning element
2-Critic
3-Performance element
4-Problem generator

Answer 18

4-Problem generator