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» Solving Over-Constrained Problems with SAT
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COCO
2005
Springer
123views Algorithms» more  COCO 2005»
14 years 2 months ago
If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
CC
2007
Springer
121views System Software» more  CC 2007»
13 years 9 months ago
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
CPAIOR
2006
Springer
14 years 28 days ago
An Efficient Hybrid Strategy for Temporal Planning
Temporal planning (TP) is notoriously difficult because it requires to solve a propositional STRIPS planning problem with temporal constraints. In this paper, we propose an efficie...
Zhao Xing, Yixin Chen, Weixiong Zhang
LOGCOM
2011
13 years 1 days ago
Introducing Preferences in Planning as Satisfiability
Planning as Satisfiability is one of the most well-known and effective techniques for classical planning: satplan has been the winning system in the deterministic track for optim...
Enrico Giunchiglia, Marco Maratea
KBSE
2007
IEEE
14 years 3 months ago
An automated approach to monitoring and diagnosing requirements
Monitoring the satisfaction of software requirements and diagnosing what went wrong in case of failure is a hard problem that has received little attention in the Software and Req...
Yiqiao Wang, Sheila A. McIlraith, Yijun Yu, John M...