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
Qualitative analysis of MOS circuits
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Model-based reasoning: troubleshooting
Exploring artificial intelligence
Expert systems: how far can they go? part two
AI Magazine
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Generating causal explanation from a cardio-vascular simulation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Reasoning about assumptions in graphs of models
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Hi-index | 0.00 |
Commitment to an ontological perspective is a primary aspect of reasoning about the physical world. For complex analytic tasks, the ability to switch between different ontologies to represent the same target system can be critical. Supplementing the standard device ontology for electronic circuits, we outline elements of a charge-carrier (CC) ontology for reasoning about electronics. Having two ontologies extends our range of reasoning, but raises the issue of how to control their application. We propose a set of ontological-choice rules to govern the process of ontological shift and demonstrate its effectiveness with examples involving the two ontologies in reasoning about electronic circuits.