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

Title: en_US Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity
Creator: en_US Weld, Daniel Sabey
Date: 2004-10-20T20:10:01Z
Date Available: 2004-10-20T20:10:01Z
Date Issued: en_US 1984-05-01
Identifier: en_US AITR-793
uri: http://hdl.handle.net/1721.1/6945
Abstract: en_US 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.
Extent: 10332763 bytes; 3889105 bytes
Format: application/postscript; application/pdf
Language: en_US
Relation: en_US AITR-793