AdaptiveQuery (LearnLib :: API 0.18.0 API)

Type Parameters:

I - input symbol type

O - output symbol type
```
public interface AdaptiveQuery<I,O>
```
An adaptive query is a variation of the (regular) Query that allows one to dynamically select the symbols to query based on responses to previous symbols.
After fetching the current input symbol that should be evaluated on the system under learning, its respective output must be processed by the query object in order to determine the next action to make. This essentially establishes a symbol-wise dialogue between the query object and the system under learning and makes adaptive queries inherently stateful.
For the semantics of this conversation, see the different AdaptiveQuery.Response values and their respective documentation.

Nested Class Summary

Nested Classes
Modifier and Type Interface Description

static class AdaptiveQuery.Response
The different types of responses when processing outputs from the system under learning.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`I`	`getInput()`	Returns the current input symbol that should be evaluated on the system under learning.
`AdaptiveQuery.Response`	`processOutput(O out)`	Processes the output of the system under learning to the latest returned input symbol.

- Method Detail
  - getInput
```
I getInput()
```
    Returns the current input symbol that should be evaluated on the system under learning.
    
    Returns:
    
    the current input symbol
  - processOutput
```
AdaptiveQuery.Response processOutput(O out)
```
    Processes the output of the system under learning to the latest returned input symbol.
    
    Parameters:
    
    out - the output of the system under learning
    
    Returns:
    
    the next action to make