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Trajectory constraints in qualitative simulation

Authors: BRAJNIK, Giorgio; DJ Clancy;

Trajectory constraints in qualitative simulation

Abstract

We present a method for specifying temporal con- straints on trajectories of dynamical systems and en- forcing them during qualitative simulation. This ca- pability can be used to focus a simulation, simulate non-autonomous and piecewise-continuous systems, reason about boundary condition problems and incor- porate observations into the simulation. The method has been implemented in TeQSIM, a qualitative simu- lator that combines the expressive power of qualitative differential equations with temporal logic. It inter- leaves temporal logic model checking with the simu- lation to constrain and refine the resulting predicted behaviors and to inject discontinuous changes into the simulation.

Country
Italy
Related Organizations
Keywords

artificial intelligence; qualitative modeling; temporal logic

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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