Artificial Intelligence
Readings in qualitative reasoning about physical systems
Readings in qualitative reasoning about physical systems
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Reasoning about model accuracy
Artificial Intelligence
Multimodal reasoning for automatic model construction
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Global solutions for nonlinear systems using qualitative reasoning
Annals of Mathematics and Artificial Intelligence
Automatic Qualitative Modeling of Dynamic Physical Systems
Automatic Qualitative Modeling of Dynamic Physical Systems
Automated mathematical modeling from experimental data: anapplication to material science
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Reasoning about Input-Output Modeling of Dynamical Systems
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Intelligent Sensor Analysis and Actuator Control
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Incorporating Engineering Formalisms into Automated Model Builders
Computational Discovery of Scientific Knowledge
Hi-index | 0.00 |
We present a new knowledge representation and reasoning framework for modeling nonlinear dynamical systems. The goals of this framework are to smoothly incorporate varying levels of domain knowledge and to tailor the reasoning methods - and hence the search space -- accordingly. Our solution exploits generalized physical networks (GPN), a rneta-level representation of idealized two-terminal elements, together with a hierarchy of qualitative and quantitative analysis tools, to produce a dynamic modeling domain whose complexity naturally adapts to the amount of available information about the target system.