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doc:concepts [2019/05/21 13:14]
tgeijten
doc:concepts [2019/06/04 10:57] (current)
tgeijten
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 In SCONE, everything needed to perform a predictive simulation is bundled in what is called a **scenario**. Each SCONE scenario consists of the following components: In SCONE, everything needed to perform a predictive simulation is bundled in what is called a **scenario**. Each SCONE scenario consists of the following components:
  
-  * A musculoskeletal [[models]] of the human or animal, which is used in the simulation+  * A musculoskeletal ​**[[doc:​model|Model]]** of the human or animal ​you wish to simulate
-  * A [[controllers]], which produces the actuator ​input for the model. +  * A **[[doc:​controller|Controller]]** that generates ​input for the model actuators
-  * An [[objectives]], which describes the goal task for which you wish to optimize, through a weighted combination of [[measures]]. +  * An **[[doc:​objective|Objective]]** that describes the goal task for which you wish to optimize, through a weighted combination of **[[doc:​objective|Measures]]**
-  * An [[optimizers]], which attempts ​to find the parameters that best perform a specified ​objective+  * An **[[doc:​optimizer|Optimizer]]** that tries to find the parameters that optimally ​perform a specific ​objective.
- +
-==== Controller ==== +
-Controllers compute the input values of the model actuators.  +
- +
-In SCONE, controllers consist of modular components that can be combined to perform complex behaviors. +
- +
-==== Measure ==== +
-Measures define the //fitness// or //quality// of a simulation. The goal of the optimizer is to minimize (or maximize, depending on the type) the measure.+
  
 +To learn more about SCONE scenarios, be sure check out the [[tutorials:​introduction]] tutorial.
  
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