Unbiased Statistics of a CSP - A Controlled-Bias Generator
Artificial Intelligence
2015-06-03 v1
Abstract
We show that estimating the complexity (mean and distribution) of the instances of a fixed size Constraint Satisfaction Problem (CSP) can be very hard. We deal with the main two aspects of the problem: defining a measure of complexity and generating random unbiased instances. For the first problem, we rely on a general framework and a measure of complexity we presented at CISSE08. For the generation problem, we restrict our analysis to the Sudoku example and we provide a solution that also explains why it is so difficult.
Keywords
Cite
@article{arxiv.1111.4083,
title = {Unbiased Statistics of a CSP - A Controlled-Bias Generator},
author = {Denis Berthier},
journal= {arXiv preprint arXiv:1111.4083},
year = {2015}
}