What happens in the Adaptive Model when an outcome with an unlisted response occurs?

In the context of the Adaptive Model, when an outcome with an unlisted response occurs, the model will ignore that response. This behavior is designed to maintain the integrity of the decisioning process by only considering outcomes that have been predefined and understood by the model.

If the model encounters an outcome it does not have information on or that has not been trained, it cannot effectively learn from that data point, so it essentially disregards it. This ensures that the model continuously operates based on valid and relevant data, which is crucial for maintaining effective decisioning and ensuring that the underlying algorithms can make informed predictions.

Logging the response for future reference, generating a warning or error, or automatically adding the outcome to the list would introduce complications that could compromise the model's reliability and performance. Hence, ignoring unlisted responses helps the model to avoid confusion and maintain focus on known, reliable outcomes.