The use of aggregation in causal simulation
Artificial Intelligence
Automatic qualitative analysis of dynamic systems using piecewise linear approximations
Artificial Intelligence
Automatic analysis of systems at steady-state: handling iterative dynamic systems and parameter uncertainty
Reasoning about assumptions in graphs of models
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Hierarchical reasoning about inequalities
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
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The full analysis of complicated dynamic systems has yet to be automated. Fortunately, a steady-state analysis is often still quite useful. This paper describes AIS, a program written to analyze (sub) systems that at steady-state are iterating a fixed sequence of actions. Such systems are too complicated to directly describe using something like electrical circuit analogies. An example of such a system is the ventricle of the heart. AIS takes in a system description in terms of its detailed behavior during the time scale of a single sequence iteration (such as a single heart beat), and outputs a system description in terms of the system's net behavior during the time scale of many iterations. Single iteration descriptions are often easier for people to give, but average behavior descriptions are often more useful.