Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity
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 p...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6945 |
| _version_ | 1826209319364853760 |
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| author | Weld, Daniel Sabey |
| author_facet | Weld, Daniel Sabey |
| author_sort | Weld, Daniel Sabey |
| collection | MIT |
| 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. |
| first_indexed | 2024-09-23T14:20:39Z |
| id | mit-1721.1/6945 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:20:39Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/69452019-04-10T14:25:58Z Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity Weld, Daniel Sabey 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. 2004-10-20T20:10:01Z 2004-10-20T20:10:01Z 1984-05-01 AITR-793 http://hdl.handle.net/1721.1/6945 en_US AITR-793 10332763 bytes 3889105 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | Weld, Daniel Sabey Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity |
| title | Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity |
| title_full | Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity |
| title_fullStr | Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity |
| title_full_unstemmed | Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity |
| title_short | Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity |
| title_sort | switching between discrete and continuous process models to predict molecular genetic activity |
| url | http://hdl.handle.net/1721.1/6945 |
| work_keys_str_mv | AT welddanielsabey switchingbetweendiscreteandcontinuousprocessmodelstopredictmoleculargeneticactivity |