■ We examine different formalisms for modeling qualitatively physical systems and their associated inferential processes that allow us to derive quali-tative predictions from the models. We highlight the mathematical aspects of these processes along with their potential and limitations. The article then bridges to quantitative modeling, highlight-ing the benefits of qualitative reasoning–based ap-proaches in the framework of system identifica-tion, and discusses open research issues
Objects move, collide, flow, bend, heat up, cool down, stretch, compress and boil. These and other...
Qualitative physics has achieved considerable success in small and moderate scale problems but metho...
Within the realm of research toward the emulation of human intelligence, the problem of how to perfo...
We examine different formalisms for modeling qualitatively physical systems and their associated in...
Predicting the behavior of physical systems is essential to both common sense and engineering tasks....
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
We evaluate the success of the qualitative physics enterprise in automating expert reasoning about p...
Refs: 27International audienceComplex systems modeling and simulation are critical in many industria...
In this paper we summarize the foundation for a model-based approach to diagnosis of technical syste...
All major approaches to Qualitative Reasoning rely on the existence of a model of the physical syste...
Understanding people's commonsense knowledge about physical world is a fundamental problem in buildi...
Existing approaches to qualitative physics concentrate on the reasoning aspects with qualitative val...
This paper describes the implementation of WQMS, a general-purpose qualitative modeling environment ...
In this paper we describe a case study in which we applied an approach to qualitative machine learni...
An unsolved problem in qualitative physics is generating a qualitative understanding of how a physic...
Objects move, collide, flow, bend, heat up, cool down, stretch, compress and boil. These and other...
Qualitative physics has achieved considerable success in small and moderate scale problems but metho...
Within the realm of research toward the emulation of human intelligence, the problem of how to perfo...
We examine different formalisms for modeling qualitatively physical systems and their associated in...
Predicting the behavior of physical systems is essential to both common sense and engineering tasks....
Qualitative reasoning about physical systems has become one of the most active and productive areas ...
We evaluate the success of the qualitative physics enterprise in automating expert reasoning about p...
Refs: 27International audienceComplex systems modeling and simulation are critical in many industria...
In this paper we summarize the foundation for a model-based approach to diagnosis of technical syste...
All major approaches to Qualitative Reasoning rely on the existence of a model of the physical syste...
Understanding people's commonsense knowledge about physical world is a fundamental problem in buildi...
Existing approaches to qualitative physics concentrate on the reasoning aspects with qualitative val...
This paper describes the implementation of WQMS, a general-purpose qualitative modeling environment ...
In this paper we describe a case study in which we applied an approach to qualitative machine learni...
An unsolved problem in qualitative physics is generating a qualitative understanding of how a physic...
Objects move, collide, flow, bend, heat up, cool down, stretch, compress and boil. These and other...
Qualitative physics has achieved considerable success in small and moderate scale problems but metho...
Within the realm of research toward the emulation of human intelligence, the problem of how to perfo...