Add to ORKGAbstract: QSIM is a powerful Qualitative Simulation algorithm, which now includes many features that have proven to be necessary in Qualitative Simulation. These features are: reasoning with Higher-Order Derivatives, having Multiple Levels of Abstraction, reasoning in the Phase Space representation, and reasoning about Energy. The aim of this paper is to provide a comprehensive view of all these techniques, by explaining their rationale, showing the problems they address and how they interact. Remaining problems in Qualitative Simulation are also discussed
Traditionally, qualitative simulation uses a global, state-based representation to describe the beha...
AbstractShortcomings of qualitative simulation and of quantitative simulation motivate combining the...
A central goal of qualitative physics is to provide a framework for organizing and using quantitativ...
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
This paper describes the implementation of WQMS, a general-purpose qualitative modeling environment ...
We present a simple but potentially extremely powerful technique for associating degrees of commitme...
International audienceThe study of complex systems is essential in many scientific fields for safety...
AbstractState-of-the-art qualitative simulators (for instance, QSIM) are known to be sound; no traje...
this paper took place while the author was visiting the Qualitative Reasoning Group at the Dept. of ...
The AI technique of qualitative simulation, enabling the representation and use of incomplete knowle...
Qualitative simulation (QS) is an area of artificial intelligence that represent continuos and discr...
We present two modifications to the qualitative simulation algorithm QSIM, which improve its perform...
Refs: 27International audienceComplex systems modeling and simulation are critical in many industria...
It was recently proved that a sound and complete qualitative simulator does not exist, that is, as l...
Discrete event simulation (DES) is widely known to be a quantitative research tool. A simulation mod...
Traditionally, qualitative simulation uses a global, state-based representation to describe the beha...
AbstractShortcomings of qualitative simulation and of quantitative simulation motivate combining the...
A central goal of qualitative physics is to provide a framework for organizing and using quantitativ...
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
This paper describes the implementation of WQMS, a general-purpose qualitative modeling environment ...
We present a simple but potentially extremely powerful technique for associating degrees of commitme...
International audienceThe study of complex systems is essential in many scientific fields for safety...
AbstractState-of-the-art qualitative simulators (for instance, QSIM) are known to be sound; no traje...
this paper took place while the author was visiting the Qualitative Reasoning Group at the Dept. of ...
The AI technique of qualitative simulation, enabling the representation and use of incomplete knowle...
Qualitative simulation (QS) is an area of artificial intelligence that represent continuos and discr...
We present two modifications to the qualitative simulation algorithm QSIM, which improve its perform...
Refs: 27International audienceComplex systems modeling and simulation are critical in many industria...
It was recently proved that a sound and complete qualitative simulator does not exist, that is, as l...
Discrete event simulation (DES) is widely known to be a quantitative research tool. A simulation mod...
Traditionally, qualitative simulation uses a global, state-based representation to describe the beha...
AbstractShortcomings of qualitative simulation and of quantitative simulation motivate combining the...
A central goal of qualitative physics is to provide a framework for organizing and using quantitativ...
