Simulation or Prediction – S7
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S7 Simulation or Prediction
Subclass of:
Scope note:
This class comprises activities of executing algorithms or software for simulating the behavior and the properties of a system of interacting components that form part of reality or not by using a mathematical model of the respective interactions. In particular it implies making predictions about the future behaviors of a system of interacting components of reality by starting simulation from an actually observed state, such as weather forecasts. Simulations may also be used to understand the effects of a theory, to compare theoretical predictions with reality, or to show differences with another theory.
Examples:
- the forecasting of the imminent flooding of Venice in November 2012 by the Hellenic Centre for Marine Research using the Poseidon Sea Level Forecast System, 72 hours before its actual occurrence (S7) (slide 18 in Kores et al., 2013).
- predicting the required temperature to maintain a target RH(%) of 50 based on monthly average temperature and RH in Birmingham, UK (S7) [using the ‘Calculator for conservation heating’] (Padfield, no date).
In First Order Logic:
- S7(x) ⇒ S5(x)
Scope notes
Scope note
This class comprises activities of executing algorithms or software for simulating the behavior and the properties of a system of interacting components that form part of reality or not by using a mathematical model of the respective interactions. In particular it implies making predictions about the future behaviors of a system of interacting components of reality by starting simulation from an actually observed state, such as weather forecasts. Simulations may also be used to understand the effects of a theory, to compare theoretical predictions with reality, or to show differences with another theory.
Show | Scope note | Language | Namespace | View details | Comments |
---|---|---|---|---|---|
This class comprises activities of executing algorithms or software for simulating the behavior and the properties of a system of interacting components that form part of reality or not by using a mathematical model of the respective interactions. In particular it implies making predictions about the future behaviors of a system of interacting components of reality by starting simulation from an actually observed state, such as weather forecasts. Simulations may also be used to understand the effects of a theory, to compare theoretical predictions with reality, or to show differences with another theory. | en | CRMsci version 2.0 | 0 |
Examples
Example
- the forecasting of the imminent flooding of Venice in November 2012 by the Hellenic Centre for Marine Research using the Poseidon Sea Level Forecast System, 72 hours before its actual occurrence (S7) (slide 18 in Kores et al., 2013).
- predicting the required temperature to maintain a target RH(%) of 50 based on monthly average temperature and RH in Birmingham, UK (S7) [using the ‘Calculator for conservation heating’] (Padfield, no date).
Show | Example | Language | Namespace | View details | Comments |
---|---|---|---|---|---|
the forecasting of the imminent flooding of Venice in November 2012 by the Hellenic Centre for Marine Research using the Poseidon Sea Level Forecast System, 72 hours before its actual occurrence (S7) (slide 18 in Kores et al., 2013). predicting the required temperature to maintain a target RH(%) of 50 based on monthly average temperature and RH in Birmingham, UK (S7) [using the ‘Calculator for conservation heating’] (Padfield, no date). | en | CRMsci version 2.0 | 0 |
Additional notes
Identifier: S7
Official URI: http://www.cidoc-crm.org/cidoc-crm/CRMsci/S7_Simulation_or_Prediction
OntoME URI: https://ontome.net/ontology/c372
Labels
Label | Language | Last updated | View details | Comments |
---|---|---|---|---|
Simulation or Prediction * | en | 2025-04-17 | 0 |
* : Standard label for this language
Namespace
Namespace | Last updated |
---|---|
CRMsci version 1.2.3 | 2021-05-07 |
CRMsci version 2.0 | 2022-09-13 |
Parent classes
Class | Class namespace | Relation defined in | Justification | View details | Edit | Delete | Comments |
---|---|---|---|---|---|---|---|
S5 Inference Making | CRMsci version 2.0 | CRMsci version 2.0 |
JustificationSubclass of |
0 |
Ancestor classes
Class | Depth | Class namespace | Via |
---|---|---|---|
E13 Attribute Assignment | 2 | CIDOC CRM version 7.1.3 | S5 |
E7 Activity | 3 | CIDOC CRM version 7.1.3 | S5 - E13 |
E5 Event | 4 | CIDOC CRM version 7.1.3 | S5 - E13 - E7 |
E4 Period | 5 | CIDOC CRM version 7.1.3 | S5 - E13 - E7 - E5 |
S15 Observable Entity | 5 | CRMsci version 2.0 | S5 - E13 - E7 - E5 |
E1 CRM Entity | 6 | CIDOC CRM version 7.1.3 | S5 - E13 - E7 - E5 - S15 |
E2 Temporal Entity | 6 | CIDOC CRM version 7.1.3 | S5 - E13 - E7 - E5 - E4 |
E92 Spacetime Volume | 6 | CIDOC CRM version 7.1.3 | S5 - E13 - E7 - E5 - E4 |
E1 CRM Entity | 7 | CIDOC CRM version 7.1.3 | S5 - E13 - E7 - E5 - E4 - E2 |
E1 CRM Entity | 7 | CIDOC CRM version 7.1.3 | S5 - E13 - E7 - E5 - E4 - E92 |
Thing | 7 | OntoME internal model - active version | S5 - E13 - E7 - E5 - S15 - E1 |
Thing | 8 | OntoME internal model - active version | S5 - E13 - E7 - E5 - E4 - E2 - E1 |
Thing | 8 | OntoME internal model - active version | S5 - E13 - E7 - E5 - E4 - E92 - E1 |
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