2. Consider the vacuum-world problem defined as shown in the following figure-1. a. Which of the algorithms defined in this chapter would be appropriate for this problem? Should the algorithm use tree search or graph search? b. Apply your chosen algorithm to compute an optimal sequence of actions for a 3×3 world whose initial state has dirt in the three top squares and the agent in the center. c. Construct a search agent for the vacuum world, and evaluate its performance in a set of 3x3 worlds with probability 0.2 of dirt in each square. Include the search cost as well as path cost in the performance measure, using a reasonable exchange rate. d. Compare your best search agent with a simple randomized reflex agent that sucks if there is dirt and otherwise moves randomly. e. Consider what would happen if the world were enlarged to n x n. How does the performance of the search agent and of the reflex agent vary with n? A В Figure – 1

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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I need these questions solutions as soon as possible sir.

Question: Consider the vacuum-world problem defined as shown in the following figure-1.


a. Which of the algorithms defined in this chapter would be appropriate for this problem? Should the algorithm use tree search or graph search?


b. Apply your chosen algorithm to compute an optimal sequence of actions for a 3×3 world whose initial state has dirt in the three top squares and the agent in the center.

c. Construct a search agent for the vacuum world and evaluate its performance in a set of 3×3 worlds with a probability of 0.2 of dirt in each square. Include the search cost as well as path cost in the performance measure, using a reasonable exchange rate.

d. Compare your best search agent with a simple randomized reflex agent that sucks if there is dirt and otherwise moves randomly.
e. Consider what would happen if the world were enlarged to n × n. How does the performance of the search agent and of the reflex agent vary with n?

Note: All 5 quires are written perfectly and well explained with proper logic.

 

2. Consider the vacuum-world problem defined as shown in the
following figure-1.
a. Which of the algorithms defined in this chapter would be
appropriate for this problem? Should the algorithm use tree search
or graph search?
b. Apply your chosen algorithm to compute an optimal sequence of
actions for a 3x3 world whose initial state has dirt in the three top
squares and the agent in the center.
c. Construct a search agent for the vacuum world, and evaluate its
performance in a set of 3x3 worlds with probability 0.2 of dirt in
each square. Include the search cost as well as path cost in the
performance measure, using a reasonable exchange rate.
d. Compare your best search agent with a simple randomized reflex
agent that sucks if there is dirt and otherwise moves randomly.
e. Consider what would happen if the world were enlarged to n x n.
How does the performance of the search agent and of the reflex
agent vary with n?
A
В
Figure - 1
Transcribed Image Text:2. Consider the vacuum-world problem defined as shown in the following figure-1. a. Which of the algorithms defined in this chapter would be appropriate for this problem? Should the algorithm use tree search or graph search? b. Apply your chosen algorithm to compute an optimal sequence of actions for a 3x3 world whose initial state has dirt in the three top squares and the agent in the center. c. Construct a search agent for the vacuum world, and evaluate its performance in a set of 3x3 worlds with probability 0.2 of dirt in each square. Include the search cost as well as path cost in the performance measure, using a reasonable exchange rate. d. Compare your best search agent with a simple randomized reflex agent that sucks if there is dirt and otherwise moves randomly. e. Consider what would happen if the world were enlarged to n x n. How does the performance of the search agent and of the reflex agent vary with n? A В Figure - 1
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