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ECAI
2004
Springer
14 years 2 months ago
Robust Solutions for Constraint Satisfaction and Optimization
Super solutions are a mechanism to provide robustness to constraint programs [10]. They are solutions in which, if a small number of variables lose their values, we are guaranteed ...
Emmanuel Hebrard, Brahim Hnich, Toby Walsh
CP
1995
Springer
14 years 10 days ago
Optimization-based Heuristics for Maximal Constraint Satisfaction
We present a new heuristic approach for maximal constraint satisfaction of overconstrained problems (MAX-CSP). This approach is based on a formulation of CSP as an optimization pro...
Javier Larrosa, Pedro Meseguer
IJCAI
2007
13 years 10 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
AI
2002
Springer
13 years 8 months ago
Multi-agent oriented constraint satisfaction
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...
Jiming Liu, Han Jing, Yuan Yan Tang
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
13 years 8 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari