Artificial Intelligence: A Modern Approach
3rd Edition
ISBN: 9780136042594
Author: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
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Chapter 3, Problem 14E
Explanation of Solution
a. Depth-first search always expands at least as many nodes as A* search with an admissible heuristic:
- It is a false statement.
- Reason: a lucky DFS might expand exactly d nodes in order to reach the goal.
- A* largely dominates any graph-search
algorithm that is guaranteed to find optimal solutions.
b. h(n)=0 is an admissible heuristic for the 8-puzzle.
- It is a true statement
- Reason: h(n)=0 is always an admissible heuristic, since costs are nonnegative.
c. A* is of no use in robotics because percepts, states, actions are continuous.
- It is a true statement.
- Reason: A*search is generally used in robotics...
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Correct answer will be upvoted else Multiple Downvoted. Don't submit random answer. Computer science.
Artem is building another robot. He has a network a comprising of n lines and m sections. The cell situated on the I-th line from the top and the j-th segment from the left has a worth ai,j written in it.
In the event that two nearby cells contain a similar worth, the robot will break. A lattice is called acceptable if no two adjoining cells contain a similar worth, where two cells are called nearby on the off chance that they share a side.
Artem needs to increase the qualities in certain cells by one to make a decent.
All the more officially, find a decent network b that fulfills the accompanying condition —
For all substantial (i,j), either bi,j=ai,j or bi,j=ai,j+1.
For the imperatives of this issue, it tends to be shown that such a framework b consistently exists. In case there are a few such tables, you can output any of them. Kindly note that you don't need to limit…
Consider a graph and implement Breadth-first search, Uniform-cost search, Depth-first search, Depth-limited search, Iterative deepening depth-first search and Bidirectional search using your favorite programming language. Also draw and visualize the solution.
Artificial Intelligence - Adversarial Search
1. Consider the following three variants of minimax search: the simple version, alpha-beta search, anddepth-limited search, and consider the games of tic-tac-toe and chess. For the chess game, supposethat the Threefold Repetition Rule and the Fifty-Move Rule, and the similar rules if any, are notconsidered, i.e., the game will not terminate if the same position occurs multiple times. For eachcombination of minimax variant and game, answer the following question: can that minimax variantpossibly never terminate, in computing the best next move? Justify your answer.
Chapter 3 Solutions
Artificial Intelligence: A Modern Approach
Ch. 3 - Explain why problem formulation must follow goal...Ch. 3 - Prob. 2ECh. 3 - Prob. 3ECh. 3 - Prob. 4ECh. 3 - Prob. 5ECh. 3 - Prob. 6ECh. 3 - Prob. 8ECh. 3 - Prob. 9ECh. 3 - Prob. 10ECh. 3 - Prob. 11E
Ch. 3 - Prob. 12ECh. 3 - Prob. 13ECh. 3 - Prob. 14ECh. 3 - Prob. 15ECh. 3 - Prob. 16ECh. 3 - Prob. 17ECh. 3 - Prob. 18ECh. 3 - Prob. 20ECh. 3 - Prob. 21ECh. 3 - Prob. 22ECh. 3 - Trace the operation of A search applied to the...Ch. 3 - Prob. 24ECh. 3 - Prob. 25ECh. 3 - Prob. 26ECh. 3 - Prob. 27ECh. 3 - Prob. 28ECh. 3 - Prob. 29ECh. 3 - Prob. 31ECh. 3 - Prob. 32E
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