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ATAL
2010
Springer
13 years 7 months ago
A general, fully distributed multi-agent planning algorithm
We present a fully distributed multi-agent planning algorithm. Our methodology uses distributed constraint satisfaction to coordinate between agents, and local planning to ensure ...
Raz Nissim, Ronen I. Brafman, Carmel Domshlak
IRI
2006
IEEE
14 years 22 days ago
A new heuristic-based albeit complete method to extract MUCs from unsatisfiable CSPs
When a Constraint Satisfaction Problem (CSP) admits no solution, most current solvers express that the whole search space has been explored unsuccessfully but do not exhibit which...
Éric Grégoire, Bertrand Mazure, C&ea...
SARA
2009
Springer
14 years 1 months ago
Common Subexpressions in Constraint Models of Planning Problems
Constraint Programming is an attractive approach for solving AI planning problems by modelling them as Constraint Satisfaction Problems (CSPs). However, formulating effective cons...
Andrea Rendl, Ian Miguel, Ian P. Gent, Peter Grego...
AAAI
2007
13 years 9 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...
CPAIOR
2006
Springer
13 years 8 months ago
Conflict-Directed A* Search for Soft Constraints
As many real-world problems involve user preferences, costs, or probabilities, constraint satisfaction has been extended to optimization by generalizing hard constraints to soft co...
Martin Sachenbacher, Brian C. Williams