Questions tagged [constraint-satisfaction-problems]

For questions about constraint satisfaction problems (CSPs), which are usually described by a set of variables, a set of domains, and a set of constraints. For more details, see, for example, chapter 6 of the book "Artificial Intelligence: A Modern Approach" (3rd Edition) by Stuart Russell and Peter Norvig.

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CSP backtrack python code from AIMA website

I have an implementation of a CSP backtracking solver in python and am ready to rewrite it in C++. Just to check against some other implementations, I notice that the AIMA book has python2 code at ...
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Arc Consistency in a 6-Queens Problem

Consider the following board: The exercise asks to apply the AC-3 algorithm, given that the domain of $v_1$ and $v_2$ is fix with $v_1 = 2$ and $v_2 = 5$. For the remaining domains, we should ...
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How to create a loss function that penalizes duplicate indices in the output tensor?

We're working on a sequence-to-sequence problem using pytorch, and are using cross-entropy to calculate the loss when comparing the output sequence to the target sequence. This works fine and ...
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What is my mistake in applying the AC-3 algorithm on this problem?

I want to apply AC-3 algorithm to the following CSP: There are two variables $A$ and $B$. Domain of $A: \{0, 1, 2, 3, 4, 5, 6, 7, 8, 9\} $ Domain of $B: \{0, 1, 2, 3, 4, 5, 6, 7, 8, 9\} $ The ...
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CSAT to Boolean satisfiability

The Problem: Let $P$ be a a Constraint Satisfaction Problem $[Var,Dom,Con]$ over $n$ variables, each ranging over $s$ values; i.e., $Var = [x_1 , ... , x_n ]$ and $Dom(x_i )$ has cardinality $s$, for ...
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Incorporate specific constraints while training a (Conditional) variational autoencoder

I'm wondering how could I incorporate specific constraints during the training phase of a deep learning model. In particular, I work for a materials-science related project where I feed to my models ...
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What are the "two new constraints" that the authors of the "TeEther" paper are referring to?

Smart contracts (SC) are programs developed for Ethereum Blockchain initially. They are used for transferring Ether and subsequently can be applied in place of Banking transactions and credit cards. ...
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Understanding conflict set generation for conflict directed backjumping

I was reading Constraint Satisfaction Problem chapter from Artificial Intelligence 3rd ed book by Peter Norvig et al. On page 219, section 6.3 it explains computation of conflict set for conflict ...
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How to handle equality constraints in the mutation operation of evolutionary algorithms?

I am new in evolutionary algorithms field. I have a chromosome of 6 variables (real variable), where the sum of these variables is equal to 1. I am looking for mutation formulas that can generate a ...
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CSP heuristic to simultaneously reduce conflicts and find near optimal assignment

I am trying to design a good heuristic to solve a constraint satisfaction problem (CSP). I think that a possible heuristic to use is $$h_1(\text{state}) = \text{number of conflicts in state}$$ However,...
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What's wrong with my answer to this constraint satisfaction problem, which needs to be solved the AC-3 algorithm?

I was watching the video Constraint Satisfaction: the AC-3 algorithm, and I tried to solve this question: Given the variables A, B, C and D, with domain {1, 2, 3, 4} in each of them and restrictions ...
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What are the differences between constraint satisfaction problems and linear programming?

I have taken an algorithms course where we talked about LP significantly, and also many reductions to LPs. As I recall, normal LP is not NP-Hard. Integer LP is NP-Hard. I am currently taking an ...
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How can I design a system that suggests physical exercises to a person while keeping into account the fatigue?

I want to create an exercise suggester. Each day either has a routine or is a rest day. A routine has 4 slots. For each slot we select an exercise. We constrain the legal exercises, only do upper-body ...
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How do I decide which norm to use for placing a constraint on my adversarial perturbation?

I am performing an adversarial machine learning attack on a neural network for network traffic classification. For adding adversarial perturbations in features such as packet interarrival times and ...
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Where can I find example data for Nonogram solver?

I made CSP nonogram solver and I wanna test it on some bigger data. Where can I find such data to test my program? I've been looking on the internet but I couldn't find anything.
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How can I formulate a nonogram problem as a constraint satisfaction problem?

I've just started learning CSP and I find it quite exciting. Now I'm facing a nonogram solving problem and I want to solve it using backtracking with CSP. The first problem that I face is that I ...
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Can the degree and minimum remaining values heuristics be used in conjunction?

I am currently studying constraint satisfaction problems and have come across two heuristics for variable selection. The minimum remaining values(MRV) heuristic and the degree heuristic. The MRV ...
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How can I develop a genetic algorithm with a constraint on the sum of alleles?

I'm working on a genetic algorithm with a constraint on the sum of the alleles, e.g. if we use regular binary coding and a chromosome is 5-bits long I'd like to constrain it so that the sum of the ...
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What is exactly the role of commutative property in a Constraint Satisfaction Problem?

I have been looking into the backtracking search for CSPs, and understand that if we just plainly do a typical depth-limited search we have a vast tree with leaves size $n!d^n$ where $n$ is the number ...
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How can I formulate the k-knights problem as a constraint satisfaction problem?

There are three things in every constraint satisfaction problem (CSP): Variables Domain Constraints In the given scenario, I know how to identify the constraints, but I don't know how to identify ...
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Which algorithm can I use to solve a problem with multiple objectives and constraints?

Consider a problem with many objectives. In my case, these are school grades for different courses (or subjects). To be more concrete, suppose that my current grade for the math course is $12/20$ and ...
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How can I assign agents to tasks based on time and affinity?

I am working on an assignment problem. Consider $K$ agents $A_1, \dots A_K$ and $N$ tasks $T_1, \dots T_N$. Each task has a certain time $t(T_i)$ to be completed and each agent has a matching (or ...
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Write Constraint Satisfaction Formulation for problem

Given $F_1,F_2,..,F_n$ as set of final exams of subjects taken by students $S_1,..,S_k$ in h slots such that no student takes two exams in a single slot.Here the objective is to maximize the number of ...
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What is local consistency in constraint satisfaction problems?

In the Constraint Propagation in CSP, it is often stated that pre-processing can solve the whole problem, so no search is required at all. And the key idea is local consistency. What does this ...
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What is the goal of a constraint solver?

What is the goal of a constraint solver? How are constraints propagated in a constraint satisfaction search? Any references are also appreciated.
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What are daily life examples of SAT problems?

What are (good) daily life examples of SAT problems? I've thought about this one. The problem of placing a bunch of different kinds of glasses in a shared cabinet in such a way that some constraints ...
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How to improve the efficiency of the backtracking search in CSPs?

Backtracking search is the basic uninformed search algorithm for constraint satisfaction problems (CSPs). How could we improve the efficiency of the backtracking search in CSPs?
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What is a successor function (in CSPs)?

In Constraint Satisfaction Problems (CSPs), a state is any data structure that supports a successor function, a heuristic function, and a goal test. In this context, what is a successor function?
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What AI technique should I use to assign a person to a task?

I'm trying to learn AI and thinking to apply it to our system. We have an application for the translation industry. What we are doing now is the coordinator $C$ assigns a file to a translator $T$. The ...
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How to turn a ternary constraint into three binary constraints?

I'm trying to solve problem 6.6 from the book Artificial Intelligence: A Modern Approach, by Peter Norvig and Stuart Russell. This is in the context of Constraint Satisfaction Problem and how you can ...
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Have evolutionary algorithms been used for engineering design?

Recently, I've been looking recently into what uses AI - specifically evolutionary algorithms - may have in automating engineering design. For a long time, there have been algorithms that solve ...