Artificial Intelligence. Route finding related problems using the above map:1. Use the breadth first search strategy.2. Use the depth first search strategy.3. Use the uniform cost search strategy.4. Use the iterative deepening search strategy.5. Discuss the relative characteristics of each of the search strategies for thisparticular problem. That is, state if the solution was optimal, and how many"unnecessary" nodes were expanded. Also explain in general, what is the best,expected, and worst case behavior of the algorithm. Also explain if certainassumptions lead to different behaviors. Part A. Route finding ProblemBelow is a map of a group of cities (not drawn to scale), labeled with the cost (mileage) to go from onecity to another:2

Answered: Route finding related problems using…

Route finding related problems using the above map: 1. Use the breadth first search strategy. 2. Use the depth first search strategy. 3. Use the uniform cost search strategy.

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter8: Network Models

Section8.5: Minimum-cost Network Flow Problems

Problem 8P

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Theoretical Computer Science

Usually, computer science seems like a practical field that involves studying, building, and working closely with computers. However, a subclass of this discipline also centers on the mathematical factors of the same. This is called theoretical computer science, and its focal point differentiates it from other branches of computer science: the rigorous mathematical approach it takes. This discipline falls under the umbrella of discrete mathematics, which is the study of countable or discontinuous mathematical structures.

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Artificial Intelligence.

Route finding related problems using the above map:
1. Use the breadth first search strategy.
2. Use the depth first search strategy.
3. Use the uniform cost search strategy.
4. Use the iterative deepening search strategy.
5. Discuss the relative characteristics of each of the search strategies for this
particular problem. That is, state if the solution was optimal, and how many
"unnecessary" nodes were expanded. Also explain in general, what is the best,
expected, and worst case behavior of the algorithm. Also explain if certain
assumptions lead to different behaviors.

Part A. Route finding Problem
Below is a map of a group of cities (not drawn to scale), labeled with the cost (mileage) to go from one
city to another:
2

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Step 1

Note: Since you have posted a question with multiple subparts, we will solve the first three subparts for you. To get the remaining subparts solved, please repost the complete question and mention the subparts to be solved.

Introduction of a Searching algorithm:

A searching algorithm is used to traverse a tree or graph and find the desired data. There are many searching algorithms in AI(Artificial Intelligence) like uninformed search and informed search, and BFS(Breadth-First Search), DFS(Depth First Search), and Uniform cost search is the uninformed search algorithm.

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