68 search results - page 6 / 14 » The Effect of Nogood Learning in Distributed Constraint Sati... |
107
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AAAI
1994
14 years 11 months ago
1994
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
123
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CPAIOR
2010
Springer
14 years 7 months ago
2010
Springer
Finite domain propagation solving, the basis of constraint programming (CP) solvers, allows building very high-level models of problems, and using highly specific inference encapsu...
FLAIRS
2006
14 years 11 months ago
2006
Because many real-world problems can be represented and solved as constraint satisfaction problems, the development of effective, efficient constraint solvers is important. A solv...
AI
2002
Springer
14 years 9 months ago
2002
Springer
This paper presents a multi-agent oriented method for solving CSPs (Constraint Satisfaction Problems). In this method, distributed agents represent variables and a two-dimensional...
ICS
2003
Tsinghua U.
15 years 2 months ago
2003
Tsinghua U.
Power consumption is a critical issue in interconnection network design, driven by power-related design constraints, such as thermal and power delivery design. Usually, off-line w...