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» Solving quantified constraint satisfaction problems
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93
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CP
1995
Springer
15 years 4 months ago
Partial Constraint Satisfaction
We present a method for finding optimal partial solutions to overconstrained instances of the Disjunctive Temporal Problems (DTP). The solutions are optimal in that they satisfy ...
Eugene C. Freuder, Richard J. Wallace
90
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AAAI
2007
15 years 2 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...
92
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IDEAL
2003
Springer
15 years 5 months ago
Agent Compromises in Distributed Problem Solving
ERA is a multi-agent oriented method for solving constraint satisfaction problems [5]. In this method, agents make decisions based on the information obtained from their environmen...
Yi Tang, Jiming Liu, Xiaolong Jin
AAAI
2006
15 years 2 months ago
A New Approach to Distributed Task Assignment using Lagrangian Decomposition and Distributed Constraint Satisfaction
We present a new formulation of distributed task assignment, called Generalized Mutual Assignment Problem (GMAP), which is derived from an NP-hard combinatorial optimization probl...
Katsutoshi Hirayama
134
Voted
ACST
2006
15 years 2 months ago
Experimental study of hybrid-type distributed maximal constraint satisfaction algorithm
A constraint satisfaction problem (CSP) is a general framework that can formalize various application problems in artificial intelligence. However, practical real-world problems t...
Masato Noto, Masahito Kurihara