Results are presented generalising superposition to non-linear systems by using qualitative differential equations. These are applied to allow the composition and decomposition of qualitative histories. Histories record the qualitative changes in a system over time, and they can be automatically generated by qualitative simulation. The qualitative superposition of such histories is shown to be identical to the qualitative simulation of interactions within linear systems, and many nonlinear systems. The result of adding two histories is a partial envisionment for the system, and the recreation of the interaction history is a path traversal of the envisionment space. The technique is useful when a reasoning system needs to decompose an intera...
This paper proposes that the concept of “qualitative” developed around the qualitative theory of non...
This paper addresses the issue of what are the wise uses of qualitative mapping and what are the con...
International audienceThe study of complex systems is essential in many scientific fields for safety...
Results are presented generalising superposition to nonlinear systems by using qualitative different...
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
Qualitative simulation (QS) is an area of artificial intelligence that represent continuos and discr...
This paper describes a constructive algorithm for performing the qualitative simulation of continuou...
Within the realm of research toward the emulation of human intelligence, the problem of how to perfo...
The problem of learning qualitative models of physical systems from observations of its behaviour ha...
this paper took place while the author was visiting the Qualitative Reasoning Group at the Dept. of ...
Second generation expert systems are characterized by the use of models of the application domain at...
Learning causal models is a central problem of qualitative reasoning. We describe a simulation of le...
The purpose of this paper is to revisit the QSIM algorithm introduced by Kuipers in qualitative phys...
In this paper we present an event-based approach to qualitative simulation. We suggest that the beha...
System dynamics techniques, such as influence diagrams, are used to model poorly understood systems....
This paper proposes that the concept of “qualitative” developed around the qualitative theory of non...
This paper addresses the issue of what are the wise uses of qualitative mapping and what are the con...
International audienceThe study of complex systems is essential in many scientific fields for safety...
Results are presented generalising superposition to nonlinear systems by using qualitative different...
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
Qualitative simulation (QS) is an area of artificial intelligence that represent continuos and discr...
This paper describes a constructive algorithm for performing the qualitative simulation of continuou...
Within the realm of research toward the emulation of human intelligence, the problem of how to perfo...
The problem of learning qualitative models of physical systems from observations of its behaviour ha...
this paper took place while the author was visiting the Qualitative Reasoning Group at the Dept. of ...
Second generation expert systems are characterized by the use of models of the application domain at...
Learning causal models is a central problem of qualitative reasoning. We describe a simulation of le...
The purpose of this paper is to revisit the QSIM algorithm introduced by Kuipers in qualitative phys...
In this paper we present an event-based approach to qualitative simulation. We suggest that the beha...
System dynamics techniques, such as influence diagrams, are used to model poorly understood systems....
This paper proposes that the concept of “qualitative” developed around the qualitative theory of non...
This paper addresses the issue of what are the wise uses of qualitative mapping and what are the con...
International audienceThe study of complex systems is essential in many scientific fields for safety...