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Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity

dc.date.accessioned2004-10-20T20:10:01Z
dc.date.accessioned2018-11-24T10:22:34Z
dc.date.available2004-10-20T20:10:01Z
dc.date.available2018-11-24T10:22:34Z
dc.date.issued1984-05-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6945
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6945
dc.description.abstractTwo kinds of process models have been used in programs that reason about change: Discrete and continuous models. We describe the design and implementation of a qualitative simulator, PEPTIDE, which uses both kinds of process models to predict the behavior of molecular energetic systems. The program uses a discrete process model to simulate both situations involving abrupt changes in quantities and the actions of small numbers of molecules. It uses a continuous process model to predict gradual changes in quantities. A novel technique, called aggregation, allows the simulator to switch between theses models through the recognition and summary of cycles. The flexibility of PEPTIDE's aggregator allows the program to detect cycles within cycles and predict the behavior of complex situations.en_US
dc.format.extent10332763 bytes
dc.format.extent3889105 bytes
dc.language.isoen_US
dc.titleSwitching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activityen_US


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