Questions tagged [search]
For questions involving search algorithms and their use in artificial intelligence
83
questions
4
votes
1answer
226 views
How to create an AI to solve a word search?
This at first sounds ridiculous. Of course there is an easy way to write a program to solve a wordsearch.
But what I would like to do is write a program that solves a word-search like a human.
That ...
4
votes
2answers
98 views
If an heuristic is not admissible, can it be consistent?
I am solving a problem in which, according to the given values, the heuristic is not admissible. According to my calculation from other similar problems, it should be consistent, as well as keeping in ...
3
votes
0answers
27 views
How to choose the weights for a linear combination of heuristic functions?
I need to write a minimax algorithm with alpha-beta pruning in limited time for the 2048 game. I know expectimax is better for this work.
Assume I wrote different heuristic functions. If I want to ...
6
votes
1answer
53 views
Can two admissable heuristics not dominate each other?
I am working on a project for my artificial intelligence class. I was wondering if I have 2 admissible heuristics, A and B, is it possible that A does not dominate B and B does not dominate A? I am ...
2
votes
1answer
42 views
In the graph search version of A*, can I stop the search the first time I encounter the goal node?
I am going through Russel and Norvig's Artificial Intelligence: A Modern Approach (3rd edition). I was reading the part regarding the A* algorithm
A* graph search version is optimal when heuristic ...
4
votes
1answer
74 views
How do we determine whether a heuristic is better than another?
I am trying to solve a Maze puzzle using the A* algorithm. I am trying to analyze the algorithm based on different applicable heuristics.
Currently, I explored the Manhattan and Euclidean distances. ...
2
votes
1answer
66 views
Understanding the proof that A* search is optimal
I don't understand the proof that $A^*$ is optimal.
The proof is by contradiction:
Assume $A^*$ returns $p$ but there exists a $p'$ that is cheaper. When $p$ is chosen from the frontier, assume $...
1
vote
1answer
29 views
How to transform a PDDL to search?
I have a question about search and planning:
I still haven't understood the difference from the two, but they seem very similar to me; here is a question I am struggling with:
"Having formulated a ...
2
votes
2answers
63 views
Why is a mix of greedy and random usually “best” for stochastic local search?
I read that a mix of "greedy" and "random" are ideal for stochastic local search (SLS), but I'm not sure why. It mentioned that the greedy finds the local minima and the randomness avoids getting ...
0
votes
0answers
51 views
Can AC-3 algorithm solve N-Queens problem?
I am building CSP NQueens solver and apply the AC-3 algorithm.But,the domain reduction doesn't occur and gets more search time.How does it happen?Is it a nature of AC-3 algorithm?
3
votes
1answer
26 views
Proof Branch and Bound always finds optimal path in a graph?
I've been studying Branch and Bound's graph algorithm and I hear it always finds the optimal path because it uses previously found solutions to find others, but I haven't been able to find a proof on ...
3
votes
1answer
102 views
Using graph searching to solve peg solitaire?
Problem:
I've been reading research papers on how to solve a peg solitaire using graph searching, but all the papers kind of assume you know how to do the reduction(polynomial time conversion) from ...
2
votes
1answer
21 views
what are the similarity measure use for both continuous and categorical data?
I have searched but found that some similarity measures are for continuous data and some are for categorical data. But i want to know the similarity measures which are use for both data, continuous ...
1
vote
1answer
63 views
Is this ExpectiMinimax Tree correctly drawn?
I need help with ExpectiMinimax problem:
Start a game.
The first player flips a coin.
The second player flips a coin.
The first player decides if he wants to flip another coin.
The second player ...
1
vote
1answer
85 views
How do I choose the search algorithm for a particular task?
How do I choose the search algorithm for a particular task? Which criteria should I take into account?
0
votes
2answers
58 views
How can the A* algorithm be optimized?
How can the A* algorithm be optimized?
Any references that shows the optimization of A* algorithm are also appreciated.
2
votes
1answer
85 views
Why is informed search more efficient than uninformed search?
Why does informed search more efficiently finds a solution than an uninformed search?
8
votes
2answers
132 views
What is the difference between search and learning?
I came across an article, The Bitter Truth, via the Two Minute Papers YouTube Channel. Rich Sutton says...
One thing that should be learned from the bitter lesson is the great
power of general ...
2
votes
1answer
81 views
Is the minimum and maximum of a set of admissible and consistent heuristics also consistent and admissible?
Let's suppose I have a set of heuristics $H$ = {$h_1, h_2, ..., h_N$}.
If all heuristics in $H$ are admissible, does that mean that a heuristic that takes the $\min(H)$ (or $\max(H)$ for that matter) ...
0
votes
1answer
60 views
How could we solve the TSP using an hill-climbing approach?
How could we solve the TSP using an hill-climbing approach?
3
votes
1answer
132 views
How do I find whether this heuristic is or not admissible and consistent?
I was given the following problem to solve.
Given a circular trail divided by $n> 2$ segments labeled $0 \dots n-1$. In the beginning, an agent is at the start of segment number $0$ (the edge ...
3
votes
1answer
33 views
What are the common techniques one could use to deal with collisions in a Transposition Table?
Consider an iterative deepening search using a transposition table. Whenever the transposition table is full, what are common strategies applied to replace entries in the table?
I'm aware of two ...
0
votes
0answers
21 views
In which situation hill climbing searching will be more appropriate?
There are various heuristic search algorithms, like hill climbing, greedy search, A* algorithm, but when it is best preferred to use hill climbing?
0
votes
1answer
252 views
How can I solve part b of exercise 3.6 from the book “Artificial Intelligence: A Modern Approach”?
I am trying to solve part b of the exercise 3.6 (page 113) from the book Artificial Intelligence: A Modern Approach.
More specifically, I need to give a complete problem formulation (that is precise ...
0
votes
1answer
52 views
How do I model the blocked N queens problem as a search problem?
The blocked N-queens is a variant of the N-queens problem. In the blocked N-queens problem, we also have a NxN chess board and N queens. Each square can hold at most one queen. Some squares on the ...
3
votes
2answers
471 views
What is the difference between graph search and tree search? [duplicate]
First of all, there is a lot of misunderstanding about the graph search and tree search. The difference between these two is not about graphs and trees. They have two different algorithms. You can ...
4
votes
2answers
613 views
What is the difference between search and planning?
I'm studying Artificial Intelligence. A Modern Approach, Stuart Russell, Peter Norvig, specifically about search and planning arguments.
I don't understand the difference between the two terms. I was ...
2
votes
0answers
138 views
How does DARTS compare to ENAS?
How does DARTS compare to ENAS? Which one is better or what advantages does they each have?
Links:
DARTS: Differentiable Architecture Search
Efficient Neural Architecture Search via Parameter ...
5
votes
3answers
727 views
Can someone help me to understand the alpha-beta pruning algorithm?
I understand the minimax algorithm, but I am unable to understand deeply the minimax algorithm with alpha-beta pruning, even after having looked up several sources (on the web) and having tried to ...
2
votes
2answers
209 views
When should I use simulated annealing as opposed to a genetic algorithm?
What kind of problems is simulated annealing better suited for compared to genetic algorithms?
From my experience, genetic algorithms seem to perform better than simulated annealing for most problems....
1
vote
1answer
46 views
2
votes
2answers
520 views
What are examples of daily life applications that use simulated annealing?
In AIMA, 3rd Edition on Page 125, Simulated Annealing is described as:
Hill-climbing algorithm that never makes “downhill” moves toward states with lower value (or higher cost) is guaranteed to be ...
4
votes
1answer
59 views
How do we find the length (depth) of the game tic-tac-toe in adversarial search?
When we perform the tic-tac-toe game using adversarial search I know how make a tree. Is there a way to find the depth of the tree; which level is the last level?
3
votes
1answer
127 views
Why does hill climbing algorithm only produce a local maximum?
Apparently, the hill climbing algorithm just produces a local maximum, and not necessarily a global optimum. It's stuck on a local maximum. Why does hill climbing algorithm only produce a local ...
0
votes
1answer
680 views
Why we use LIFO(Last in First Out) queue in depth first search?
As, we use FIFO(First In First Out) queue in breadth search algorithm but in depth first search we use LIFO.Why we use LIFO instead of FIFO in depth first search?
4
votes
1answer
2k views
How do I show that uniform-cost search is a special case of A*?
How do I show that uniform-cost search is a special case of A*? How do I prove this?
2
votes
1answer
67 views
How is the cost of the path to each node computed in A*?
How is the cost of the path to each node $n$ computed in the A* algorithm? Do we need to add the cost of the path to the parent node $p$ to the cost of the path of the child node $n$?
4
votes
1answer
88 views
What is the basic purpose of local search methods?
I read about the hill climbing algorithms, the simulating annealing algorithm, but I am confused. What is the basic purpose of local search methods?
1
vote
1answer
564 views
What is the difference between the breadth-first search and recursive best-first search?
What is the difference between the breadth-first search and recursive best-first search? How can I describe the key difference between them?
3
votes
2answers
2k views
What is an objective function?
Local search algorithms are useful for solving pure optimization problems, in which the aim is to find the best state according to an objective
function. My question is what is the objective function ?...
9
votes
2answers
6k views
What are the limitations of the hill climbing algorithm and how to overcome them?
What are the limitations of the hill climbing algorithm? How can we overcome these limitations?
2
votes
1answer
1k views
How is simulated annealing better than hill climbing methods?
In hill climbing methods, at each step, the current solution is replaced with the best neighbour (that is, the neighbour with highest/smallest value). In simulated annealing, "downhills" moves are ...
2
votes
1answer
628 views
What are the differences between uniform-cost search and greedy best-first search?
What are the differences between the uniform-cost search (UCS) and greedy best-first search (GBFS) algorithms? How would you convert a UCS into a GBFS?
4
votes
1answer
7k views
What are the differences between A* and greedy best-first search?
What are the differences between the A* algorithm and the greedy best-first search algorithm? Which one should I use? Which algorithm is the better one, and why?
4
votes
1answer
2k views
How is iterative deepening A* better than A*?
The iterative deepening A* search is an algorithm that can find the shortest path between a designated start node and any member of a set of goals.
The A* algorithm evaluates nodes by combining the ...
2
votes
2answers
147 views
Which Algorithm is best for Robots? [closed]
I am a student and I study Algorithms like
tree search algorithm
graph search algorithm
Then apply
BFS
DFS
UCS
IDS
DLS
Where are all these algorithms are used?
I know there is a long list of ...
4
votes
2answers
4k views
How does the uniform-cost search algorithm work?
What is the uniform-cost search (UCS) algorithm? How does it work? I would appreciate seeing a graphical execution of the algorithm. How does the frontier evolve in the case of UCS?
2
votes
2answers
2k views
When should the iterative deepening search and the depth-limited search be used?
When should the iterative deepening search (IDS), also called iterative deepening depth-first search (IDDFS), and the depth-limited search be used?
2
votes
2answers
7k views
What are the differences between greedy best-first and the A* search algorithms? [duplicate]
What are the differences between greedy best-first and the A* search algorithms? How is A* better than the greedy best-first search algorithm?
0
votes
2answers
152 views
Any problems/games/puzzles in which exhaustive search cannot show that a solution does not exist?
Introduction
Exhaustive search is a method in AI planning to find a solution for so called Constraint Satisfaction Problems. (CSP). That are problems which have some conditions to fulfill and the ...
