On reflection, there’s a better answer to this than I originally gave, so I’m trying again.
“What the agent believes the model to be” is whatever’s inside the cloud in the high-level model. That’s precisely what the clouds mean. But the clouds (and their contents) only exist in the high-level model; the low-level model contains no clouds. The “actual model” is the low-level model.
So, when we talk about the extent to which the high-level and low-level models match—i.e. what queries on the low-level model can be answered by queries on the high-level model—we’re implicitly talking about the extent to which the agent’s model matches the low-level model.
The high-level model (at least the part of it within the cloud) is “what the agent believes the model to be”.
On reflection, there’s a better answer to this than I originally gave, so I’m trying again.
“What the agent believes the model to be” is whatever’s inside the cloud in the high-level model. That’s precisely what the clouds mean. But the clouds (and their contents) only exist in the high-level model; the low-level model contains no clouds. The “actual model” is the low-level model.
So, when we talk about the extent to which the high-level and low-level models match—i.e. what queries on the low-level model can be answered by queries on the high-level model—we’re implicitly talking about the extent to which the agent’s model matches the low-level model.
The high-level model (at least the part of it within the cloud) is “what the agent believes the model to be”.