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AAAI 1999

Over-Constrained Systems

Short Paper 1999 SIGART/AAAI Doctoral Consortium Artificial Intelligence

Abstract

Standard methods for solving over-constrained problems apply constraint preferences for definition of optimal solution. There are, however, over-constrained problems with partially or even completely ordered variables and this ordering creates natural preferences for given problem. I developed a new constraint solving environment, where these preferences (variables’ annotations) dependent on variable occurence in constraint are applied.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
1056425557914131468