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
The role of causal and noncausal constraints in steady-state qualitative modeling
Artificial intelligence, simulation & modeling
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Introduction to Physical System Dynamics
Introduction to Physical System Dynamics
Device Representation-The Significance of Functional Knowledge
IEEE Expert: Intelligent Systems and Their Applications
Deriving and Using Descriptions of Purpose
IEEE Expert: Intelligent Systems and Their Applications
Early expert systems: where are they now?
MIS Quarterly
Model-Based Diagnosis and Conditional Logic
Applied Intelligence
The Knowledge Engineering Review
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The derivation of useful behaviors from component connection models of the physical structure of complex engineering systems is discussed. A component connection (CC) modeling scheme that compiles defined models to Qsim constraint representations for behavior generation is used. A number of issues arise in generating globally precise behaviors from a CC model when the behavioral models of the individual components are known. It is shown that the limitations of the current CC scheme can be addressed by incorporating global information in addition to the local connection specifications. This global information can be attributed to knowledge of teleology or intended functionality of the system being modeled.