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AAAI 1996

Trajectory Constraints in Qualitative Simulation

Conference Paper Qualitative Physics Artificial Intelligence

Abstract

We present a method for specifying temporal constraints on trajectories of dynamical systems and enforcing them during qualitative simulation. This capability can be used to focus a simulation, simulate non-autonomous and piecewise-continuous systems, reason about boundary condition problems and incorporate observations into the simulation. The method has been implemented in TeQSIM, a qualitative simulator that combines the expressive power of qualitative differential equations with temporal logic. It interleaves temporal logic model checking with the simulation to constrain and refine the resulting predicted behaviors and to inject discontinuous changes into the simulation. of qualitative states) that satisfy continuous and discontinuous behavioral requirements specified via trajectory constraints’. Figure 1 describes the relationship between the sources of constraining power within TeQSIM.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
194825640312716646