Reward Between 0 and 1: Designing the Verdict Scale

A reward is a scalar between 0 and 1 computed from a verified outcome. It updates the strategy weights.

What produces the reward?

The comparison between the actual outcome and the expected outcome in verification.

What does the reward affect?

The strategy weights. A low reward deprioritizes a strategy; a high reward raises it.

Is the reward a reward in the human sense?

No. It is a scalar value between 0 and 1 used to update weights. It is not a measure of satisfaction.

What does a low reward indicate?

A low reward indicates that the actual outcome did not match the expected outcome. The strategy is deprioritized.

What does a high reward indicate?

A high reward indicates that the actual outcome matched the expected outcome. The strategy is raised.