(Enter summary)
Abstract: Non-systematic algorithms use local information to guide the search for a
solution. Empirical research has highlighted that these algorithms are, in
general, well-suited to large-scale problems with many solutions. However,
most non-systematic search techniques perform badly for problems with few
solutions and most are incomplete, i.e. they cannot prove inconsistency.
This thesis presents a new, complete, non-systematic search algorithm that is
designed to handle tightly constrained problems... (Update)
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BibTeX entry: (Update)
E. T. Richards and B. Richards. Non-systematic search and no-good learning. Journal of Automated Reasoning, 24(4):483-533, 2000. http://citeseer.ist.psu.edu/richards98nonsystematic.html More
@article{ richards00nonsystematic,
author = "E. Thomas Richards and Barry Richards",
title = "Nonsystematic Search and No-Good Learning",
journal = "Journal of Automated Reasoning",
volume = "24",
number = "4",
pages = "483-533",
year = "2000",
url = "citeseer.ist.psu.edu/richards98nonsystematic.html" }
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[Article contains additional citations not shown here]
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