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

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6945

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DC Field	Value	Language
dc.creator	Weld, Daniel Sabey	-
dc.date	2004-10-20T20:10:01Z	-
dc.date	2004-10-20T20:10:01Z	-
dc.date	1984-05-01	-
dc.date.accessioned	2013-10-09T02:47:44Z	-
dc.date.available	2013-10-09T02:47:44Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AITR-793	-
dc.identifier	http://hdl.handle.net/1721.1/6945	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Two 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.	-
dc.format	10332763 bytes	-
dc.format	3889105 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AITR-793	-
dc.title	Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity	-
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