This work presents an extension to qualitative simulation that enables a qualitative reasoning system to support variables that exhibit delayed reactions to their constraining functions. Information stored in the previous levels of the behavior tree is retrieved and used to constrain multiple delayed variables and to capture the time-delay behavior of the system. The extension is applicable to qualitative simulators that generate time-stamped behaviors. In particular, this is implemented and integrated with the existing fuzzy qualitative simulation algorithm. Results of an example application of this extended algorithm are provided
We present two modifications to the qualitative simulation algorithm QSIM, which improve its perform...
International audienceThe study of complex systems is essential in many scientific fields for safety...
The work defended in this thesis introduces a novel approach to constraint-centred qualitative reaso...
This work presents an extension to qualitative simulation that enables a qualitative reasoning syste...
this paper took place while the author was visiting the Qualitative Reasoning Group at the Dept. of ...
We present two new qualitative reasoning formalisms, and use them in the construction of a new type ...
In this paper we present an event-based approach to qualitative simulation. We suggest that the beha...
AbstractThis paper presents a formalism called Time Interval Petri Nets (TIPNs), which are designed ...
Qualitative simulation (QS) is an area of artificial intelligence that represent continuos and discr...
We show that qualitative simulation algorithms can make better use of their input to deduce signific...
We illustrate TeQsim, a qualitative simulator for continuous dynamical systems that combines the exp...
This paper describes a constructive algorithm for performing the qualitative simulation of continuou...
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
The AI technique of qualitative simulation, enabling the representation and use of incomplete knowle...
We present a method for specifying temporal con-straints on trajectories of dynamical systems and en...
We present two modifications to the qualitative simulation algorithm QSIM, which improve its perform...
International audienceThe study of complex systems is essential in many scientific fields for safety...
The work defended in this thesis introduces a novel approach to constraint-centred qualitative reaso...
This work presents an extension to qualitative simulation that enables a qualitative reasoning syste...
this paper took place while the author was visiting the Qualitative Reasoning Group at the Dept. of ...
We present two new qualitative reasoning formalisms, and use them in the construction of a new type ...
In this paper we present an event-based approach to qualitative simulation. We suggest that the beha...
AbstractThis paper presents a formalism called Time Interval Petri Nets (TIPNs), which are designed ...
Qualitative simulation (QS) is an area of artificial intelligence that represent continuos and discr...
We show that qualitative simulation algorithms can make better use of their input to deduce signific...
We illustrate TeQsim, a qualitative simulator for continuous dynamical systems that combines the exp...
This paper describes a constructive algorithm for performing the qualitative simulation of continuou...
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
The AI technique of qualitative simulation, enabling the representation and use of incomplete knowle...
We present a method for specifying temporal con-straints on trajectories of dynamical systems and en...
We present two modifications to the qualitative simulation algorithm QSIM, which improve its perform...
International audienceThe study of complex systems is essential in many scientific fields for safety...
The work defended in this thesis introduces a novel approach to constraint-centred qualitative reaso...