A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Commonsense reasoning about causality: deriving behavior from structure
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
The use of design descriptions in automated diagnosis
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
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Models describing the process of qualitative reasoning have significantly enhanced our insight into the general nature of the challenges involved in modeling people's imaginations when they think about complex processes. The composite picture created by combining models suggested by individual researchers may appear blurred This is because, in some cases, the range of applicability of each approach is not sharply defined, and the theoretical claims supporting the work are not sufficiently stated. This state of the art clearly suggests that considerable amount of research is still required in order to reinforce the theoretical foundations for the modeling qualitative reasoning. In this paper I first describe some of the approaches used for qualitative simulation. Second, I discuss present the example of diffusion process in complicated media and the challenges involved in automating the qualitative estimations of diffusion transit times.