Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
3rd Edition
ISBN: 9780136042594
Author: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
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Chapter 3, Problem 20E

Explanation of Solution

a.

Vacuum world problem:

  • The vacuum world problem can be solved easily using depth-first-search. In this the iterative deepening search is an enhanced version of the depth first search.
  • The expansion is used by the iterative deepening search and takes the suboptimal path across nodes before reaching the target node.
  • Hence the iterative deepening depth first search is the best search option...

Explanation of Solution

b.

Applying chosen algorithm to compute the optimal sequence:

The computation of the sequence when the top three squares are dirty and agent in centre is as follows,

  • Agent: The agent is having the locations of dirty places.
  • Goal test: Clean each square so o dirt left in the path...

Explanation of Solution

c.

Constructing and evaluating the performance of a search agent of vacuum world:

  • Consider the 3×3 vacuum world with 0.2 dirt probability in squares. The search agent is,
  • The starting location of the agent id (1,1) and it is facing towards the right.
  • The agent can make the following movements – move forward, turn left, turn right, grab dirt or shoot.
  • The agent will not have the forward move when the agent reaches the last square, that is when the agent is facing the wall.
  • The possibility of moving to the adjacent box is 0.9 for the remaining squares.
  • The probability is 0.1 if there is no change in the location. The probability is calculated by assuming that all the components remain static.
  • Only the direction changes when a movement is made to turn right or to turn left. The location does not change in this case.
  • The probability is 0.8 for the direction. The quarter turn which the agent makes to change the facing direction has a probability of 0

Explanation of Solution

d.

Comparison between the iterative deepening search and the simple random reflex agent:

  • While comparing the iterative deepening search with simple random reflex agent, the iterative deepening search agent has the probability of 0.2 in any direction, executes the process.
  • The iterative deepening search agent movement can be defined...

Explanation of Solution

e.

Performance of search agent and reflex agent with n:

For N states,

Action: right, left an...

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