Path-consistency algorithms, which are polynomial for discrete problems, are exponential when applied to problems involving quantitative temporal information. The source of complexity stems from specifying relationships between pairs of time points as disjunction of intervals. We propose a polynomial algorithm, called ULT, that approximates path-consistency in Temporal Constraint Satisfaction Problems (TCSPs). We compare ULT empirically to path-consistency and directional path-consistency algorithms. When used as a preprocessing to backtracking, ULT is shown to be 10 times more effective then either DPC or PC-2
We study the performance of some known algorithms for solving the Simple Temporal Problem (STP) and ...
We present an efficient approach to adding soft constraints, in the form of preferences, to Disjunct...
AbstractWe consider a semi-dynamic setting for the Temporal Constraint Satisfaction Problem (TCSP), ...
Path-consistency algorithms, which are polynomial for discrete problems, are exponential when applie...
AbstractTemporal constraint satisfaction problems (TCSPs) provide a formal framework for representin...
The Disjunctive Temporal Problem (DTP) involves the sat-isfaction of a set of constraints represente...
Reasoning about qualitative temporal information is essential in many artificial intelligence proble...
We extend the framework of simple temporal problems studied originally by Dechter, Meiri and Pearl t...
A large number of problems can be formulated as special cases of the Constraint Satisfaction Problem...
In 2005 T.K.S. Kumar studied the Restricted Disjunctive Temporal Problem (RDTP), a restricted but ve...
Efficient management and propagation of temporal constraints is important for temporal planning as w...
Article dans revue scientifique avec comité de lecture.Many temporal applications like planning and ...
In this paper we will present a study of different res-olution techniques for solving Constraint Sat...
AbstractWe study the problems of deciding consistency and performing variable elimination for disjun...
This paper describes two algorithms for networks of quantitative temporal constraints. The ørst one ...
We study the performance of some known algorithms for solving the Simple Temporal Problem (STP) and ...
We present an efficient approach to adding soft constraints, in the form of preferences, to Disjunct...
AbstractWe consider a semi-dynamic setting for the Temporal Constraint Satisfaction Problem (TCSP), ...
Path-consistency algorithms, which are polynomial for discrete problems, are exponential when applie...
AbstractTemporal constraint satisfaction problems (TCSPs) provide a formal framework for representin...
The Disjunctive Temporal Problem (DTP) involves the sat-isfaction of a set of constraints represente...
Reasoning about qualitative temporal information is essential in many artificial intelligence proble...
We extend the framework of simple temporal problems studied originally by Dechter, Meiri and Pearl t...
A large number of problems can be formulated as special cases of the Constraint Satisfaction Problem...
In 2005 T.K.S. Kumar studied the Restricted Disjunctive Temporal Problem (RDTP), a restricted but ve...
Efficient management and propagation of temporal constraints is important for temporal planning as w...
Article dans revue scientifique avec comité de lecture.Many temporal applications like planning and ...
In this paper we will present a study of different res-olution techniques for solving Constraint Sat...
AbstractWe study the problems of deciding consistency and performing variable elimination for disjun...
This paper describes two algorithms for networks of quantitative temporal constraints. The ørst one ...
We study the performance of some known algorithms for solving the Simple Temporal Problem (STP) and ...
We present an efficient approach to adding soft constraints, in the form of preferences, to Disjunct...
AbstractWe consider a semi-dynamic setting for the Temporal Constraint Satisfaction Problem (TCSP), ...