Automated model selection using context-dependent behaviors

P. Pandurang Nayak*, Leo Joskowicz, Sanjaya Addanki

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations


Effective reasoning about complex engineered devices requires device models that are both adequate for the task and computationally efficient. This paper presents a method for constructing simple and adequate device models by selecting appropriate models for each of the device's components. Appropriate component models are determined by the context in which the device operates. We introduce context-dependent behaviors (CDBs), a component behavior model representation for encapsulating contextual modeling constraints. We show how CDBs are used in the model selection process by exploiting constraints from three sources: the structural and behavioral contexts of the components, and the expected behavior of the device. We describe an implemented program for selecting a simplest adequate model. The inputs are the structure of the device, the expected device behavior, and a library of CDBs. The output is a set of component CDBs forming a structurally and behaviorally consistent device model that achieves the expected behavior.

Original languageAmerican English
Title of host publicationProceedings Tenth National Conference on Artificial Intelligence
PublisherPubl by AAAI
Number of pages7
ISBN (Print)0262510634
StatePublished - 1992
Externally publishedYes
EventProceedings Tenth National Conference on Artificial Intelligence - AAAI-92 - San Jose, CA, USA
Duration: 12 Jul 199216 Jul 1992

Publication series

NameProceedings Tenth National Conference on Artificial Intelligence


ConferenceProceedings Tenth National Conference on Artificial Intelligence - AAAI-92
CitySan Jose, CA, USA

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