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
Artificial Intelligence
Artificial Intelligence
The use of aggregation in causal simulation
Artificial Intelligence
Model-based reasoning: troubleshooting
Exploring artificial intelligence
Towards a qualitative lagrangian theory of fluid flow
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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A model of the elementary particles of a domain and their rudimentary interactions is essential for sophisticated reasoning about the macroscopic behavior of physical system. A microscopic theory can make explicit the deeper mechanisms underlying causal models, collapse a great variety of macroscopic phenomena into a few rudimentary interactions, elaborate upon or validate macroscopic explanations, and so forth. This paper describes a qualitative representation for microscopic theories and, a method for reasoning with microscopic particles to obtain the macroscopic behavior. The representation and reasoning are illustrated using implemented examples from the fluids domain.