Below you will find pages that utilize the taxonomy term “academic”

A Study of Selected Algorithms Against the Sherlock and Zebra Problems
The binary constraint satisfaction problem (bcsp) is an important area of research because so many problems can be represented in this form [Kumar92].
By Daniel F. Dickinson on February 9, 2003
Definitions for Zebra and Sherlock
General Definitions arc consistency The domains of a variable Vi is such that for each constraint Ci,j Vi is consistent with the constraint for some permissible value of Vj for every value in the domain of Vi That is for every value x in Di (the domain of i) there exists some y in Dj such that Ci,j is satisfied.
By Daniel F. Dickinson on February 9, 2003
Algorithms for Solving Zebra and Sherlock
Preface This section contains pseudocode of the algorithms used in the paper as well as a brief discussion of each algorithm.
Definitions for the Algorithms These definition are based on the descriptions in [Prosser93] and [Kondrak97].
By Daniel F. Dickinson on February 9, 2003

Academic
By Daniel F. Dickinson on April 24, 2021
Generate Random Problems
Preface This section outlines the algorithms used to generate the problems the various algorithms were tested against.
known-vars A set containing the variables for which a constraint involving them has been generated.
By Daniel F. Dickinson on February 9, 2003
Results for Solving Zebra and Sherlock
Results Hypotheses 1 and 2 The hypothesis that achieving arc consistency using AC-3 is sufficient to solve the Zebra problem can be quickly disproved using the benchmark Zebra problem presented earlier in this paper.
By Daniel F. Dickinson on February 9, 2003
Bibliography and Appendices
Bibliography [Kondrak94] Kondrak Grzegorz A Theoretical Evaluation of Selected Backtracking Algorithms. Technical Report TR94-10, University of Alberta Fall 1994.
[Kondrak97] Kondrak Grzegorz van Beek Peter A Theoretical Evaluation of Selected Backtracking Algorithms.
By Daniel F. Dickinson on February 9, 2003