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» Binary CSP Solving as an Inference Process
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ICTAI
1996
IEEE
13 years 8 months ago
Binary CSP Solving as an Inference Process
We describe constraint solving using a rule-based approach. The distinction made between deduction rules and strategies by computational systems allows us to improve our understan...
Carlos Castro
ECP
1997
Springer
92views Robotics» more  ECP 1997»
13 years 8 months ago
Understanding and Extending Graphplan
We provide a reconstruction of Blum and Furst’s Graphplan algorithm, and use the reconstruction to extend and improve the original algorithm in several ways. In our reconstructi...
Subbarao Kambhampati, Eric Parker, Eric Lambrecht
AI
2005
Springer
13 years 4 months ago
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Because of privacy concerns, agents may not want to reveal information that could be of use in problem solving. As a result, there are potentially important tradeoffs between main...
Richard J. Wallace, Eugene C. Freuder
GIS
2007
ACM
14 years 5 months ago
Exploiting automatically inferred constraint-models for building identification in satellite imagery
The building identification (BID) problem is based on a process that uses publicly available information to automatically assign addresses to buildings in satellite imagery. In pr...
Martin Michalowski, Craig A. Knoblock, Kenneth M. ...
AAAI
2007
13 years 7 months ago
Conservative Dual Consistency
Consistencies are properties of Constraint Networks (CNs) that can be exploited in order to make inferences. When a significant amount of such inferences can be performed, CNs ar...
Christophe Lecoutre, Stéphane Cardon, Julie...