Conditional Simple Temporal Network CSTN is a constraint-based graph-formalism for conditional temporal planning. Three notions of consistency arise for CSTNs and CSTPs: weak, strong, and dynamic. Dynamic-Consistency (DC) is the most interesting notion, but it is also the most challenging. In order to address the DC-Checking problem, in [Comin and Rizzi, TIME 2015] we introduced ε-DC (a refined, more realistic, notion of DC), and provided an algorithmic solution to it. Next, given that DC implies ε-DC for some sufficiently small ε > 0, and that for every ε > 0 it holds that ε-DC implies DC, we offered a sharp lower bounding analysis on the critical value of the reaction-time ε under which the two notions coincide. This delivered the first (...
A Conditional Simple Temporal Network (CSTN) augments a Simple Temporal Network (STN) to include spe...
A Conditional Simple Temporal Network (CSTN) augments a Simple Temporal Network (STN) to include spe...
Simple Temporal Networks (STNs) are a well-studied model for representing and reasoning about time. ...
International audienceConditional Simple Temporal Network CSTN is a constraint-based graph-formalism...
A Conditional Simple Temporal Network (CSTN) includes time-points, temporal constraints, and observa...
Conditional Simple Temporal Network (CSTN) is a constraint-based graph-formalism for conditional tem...
Recent work on Conditional Simple Temporal Networks (CSTNs) has introduced the problem of checking t...
A Conditional Simple Temporal Network (CSTN) is a structure for representing and reasoning about tim...
Conditional Simple Temporal Network(CSTN) is a constraint-based graph formalism for conditional temp...
International audienceConditional Simple Temporal Network (CSTN) is a constraint-based graph-formali...
Recent work on Conditional Simple Temporal Networks (CSTNs) has introduced the problem of checking t...
A Conditional Simple Temporal Network (CSTN) is a structure for representing and reasoning about tem...
A Conditional Simple Temporal Network (CSTN) is a data structure for representing and reasoning abou...
Recent work on Conditional Simple Temporal Networks (CSTNs) has focused on checking the dynamic cons...
A Conditional Simple Temporal Network (CSTN) augments a Simple Temporal Network to include a new kin...
A Conditional Simple Temporal Network (CSTN) augments a Simple Temporal Network (STN) to include spe...
A Conditional Simple Temporal Network (CSTN) augments a Simple Temporal Network (STN) to include spe...
Simple Temporal Networks (STNs) are a well-studied model for representing and reasoning about time. ...
International audienceConditional Simple Temporal Network CSTN is a constraint-based graph-formalism...
A Conditional Simple Temporal Network (CSTN) includes time-points, temporal constraints, and observa...
Conditional Simple Temporal Network (CSTN) is a constraint-based graph-formalism for conditional tem...
Recent work on Conditional Simple Temporal Networks (CSTNs) has introduced the problem of checking t...
A Conditional Simple Temporal Network (CSTN) is a structure for representing and reasoning about tim...
Conditional Simple Temporal Network(CSTN) is a constraint-based graph formalism for conditional temp...
International audienceConditional Simple Temporal Network (CSTN) is a constraint-based graph-formali...
Recent work on Conditional Simple Temporal Networks (CSTNs) has introduced the problem of checking t...
A Conditional Simple Temporal Network (CSTN) is a structure for representing and reasoning about tem...
A Conditional Simple Temporal Network (CSTN) is a data structure for representing and reasoning abou...
Recent work on Conditional Simple Temporal Networks (CSTNs) has focused on checking the dynamic cons...
A Conditional Simple Temporal Network (CSTN) augments a Simple Temporal Network to include a new kin...
A Conditional Simple Temporal Network (CSTN) augments a Simple Temporal Network (STN) to include spe...
A Conditional Simple Temporal Network (CSTN) augments a Simple Temporal Network (STN) to include spe...
Simple Temporal Networks (STNs) are a well-studied model for representing and reasoning about time. ...