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
Qualitative analysis of MOS circuits
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence
Representing and Reasoning About Change in Geologic Interpretation
Representing and Reasoning About Change in Geologic Interpretation
Qualitative Process Theory
Switching Between Discrete and Continuous Process Models to Predict Genetic Activity
Switching Between Discrete and Continuous Process Models to Predict Genetic Activity
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Hayes has identified two distinct ontologies for reasoning about liquids. Most qualitative physics research has focused on applying and generalizing his contained-liquid ontology. This paper presents a technique for generating descriptions using the molecular collection (MC) ontology, a specialization of his alternate ontology which represents liquids in terms of little "pieces of stuff" traveling through a system. We claim that MC descriptions are parasitic on the Contained-Stuff ontology, and present rules for generating MC descriptions given a Qualitative Process theory model using contained stuffs. We illustrate these rules using several implemented examples and discuss how this representation can be used to draw complex conclusions.