The link would have been to better illustrate how the proposed system works, not about motivation. So, it seems that you understood the proposal, and wouldn’t have needed it.
I don’t exactly want to learn the cartesian boundary. A cartesian agent believes that its input set fully screens off any other influence on its thinking, and the outputs screen off any influence of the thinking on the world. Its very hard to find things that actually fulfill this. I explain how PDT can learn cartesian boundaries, if there are any, as a sanity/conservative extension check. But it can also learn that it controls copies or predictions of itself for example.
The link would have been to better illustrate how the proposed system works, not about motivation. So, it seems that you understood the proposal, and wouldn’t have needed it.
I don’t exactly want to learn the cartesian boundary. A cartesian agent believes that its input set fully screens off any other influence on its thinking, and the outputs screen off any influence of the thinking on the world. Its very hard to find things that actually fulfill this. I explain how PDT can learn cartesian boundaries, if there are any, as a sanity/conservative extension check. But it can also learn that it controls copies or predictions of itself for example.