AbstractState-of-the-art qualitative simulators (for instance, QSIM) are known to be sound; no trajectory which is the solution of a concrete equation matching the input can be missing from the output. A simulator which is seen to be incomplete, that is, which produces a spurious prediction for a particular input, can usually be augmented with an additional filter which eliminates that particular class of spurious behaviors, and the question of whether a simulator with purely qualitative input which never predicts spurious behaviors can ever be achieved by adding new filters in this way has remained unanswered until now. We prove that such a sound and complete qualitative simulation algorithm does not exist
This paper describes the implementation of WQMS, a general-purpose qualitative modeling environment ...
International audienceThe study of complex systems is essential in many scientific fields for safety...
A substantial foundation of tools for model-based reasoning with incomplete knowledge was developed:...
AbstractState-of-the-art qualitative simulators (for instance, QSIM) are known to be sound; no traje...
It was recently proved that a sound and complete qualitative simulator does not exist, that is, as l...
Abstract: QSIM is a powerful Qualitative Simulation algorithm, which now includes many features that...
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
We present two modifications to the qualitative simulation algorithm QSIM, which improve its perform...
The AI technique of qualitative simulation, enabling the representation and use of incomplete knowle...
We present a simple but potentially extremely powerful technique for associating degrees of commitme...
Qualitative simulation (QS) is an area of artificial intelligence that represent continuos and discr...
AbstractShortcomings of qualitative simulation and of quantitative simulation motivate combining the...
Shortcomings of qualitative simulation and of quantitative simulation motivate combining them to do ...
this paper took place while the author was visiting the Qualitative Reasoning Group at the Dept. of ...
This paper deals with the QSIM algorithm introduced by Kuipers to track down the changes of monotoni...
This paper describes the implementation of WQMS, a general-purpose qualitative modeling environment ...
International audienceThe study of complex systems is essential in many scientific fields for safety...
A substantial foundation of tools for model-based reasoning with incomplete knowledge was developed:...
AbstractState-of-the-art qualitative simulators (for instance, QSIM) are known to be sound; no traje...
It was recently proved that a sound and complete qualitative simulator does not exist, that is, as l...
Abstract: QSIM is a powerful Qualitative Simulation algorithm, which now includes many features that...
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
We present two modifications to the qualitative simulation algorithm QSIM, which improve its perform...
The AI technique of qualitative simulation, enabling the representation and use of incomplete knowle...
We present a simple but potentially extremely powerful technique for associating degrees of commitme...
Qualitative simulation (QS) is an area of artificial intelligence that represent continuos and discr...
AbstractShortcomings of qualitative simulation and of quantitative simulation motivate combining the...
Shortcomings of qualitative simulation and of quantitative simulation motivate combining them to do ...
this paper took place while the author was visiting the Qualitative Reasoning Group at the Dept. of ...
This paper deals with the QSIM algorithm introduced by Kuipers to track down the changes of monotoni...
This paper describes the implementation of WQMS, a general-purpose qualitative modeling environment ...
International audienceThe study of complex systems is essential in many scientific fields for safety...
A substantial foundation of tools for model-based reasoning with incomplete knowledge was developed:...