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Non-systematic Search and No-good Learning (1998)  (Make Corrections)  (7 citations)
E. Thomas Richards
Journal of Automated Reasoning



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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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211   Hybrid algorithms for the constraint satisfaction problem (context) - Prosser - 1993
211   Enhancement schemes for constraint processing: backjumping (context) - Dechter - 1990
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146   Domain independent extensions to GSAT: Solving large structu.. - Selman, Kautz - 1993
127   Constraint Satisfaction Algorithms (context) - Nadel - 1989
97   Experimental results on the crossover point in random 3SAT - Crawford, Auton - 1996
93   Journal of Artificial Intelligence Research (context) - Ginsberg, Backtracking - 1993
87   A Theoretical Evaluation of Selected Backtracking Algorithms - Kondrak, van Beek - 1995

[Article contains additional citations not shown here]

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