In that case, one strategy the EAI might employ is to allow the FAI to increase its utility to an arbitrarily high level before threatening to take it away. In this way, it can simulate an arbitrarily large disutility even if the utility function is bounded below. Of course, a high utility might improve the FAI’s position to resist the EAI’s threats.
In this scenario, it is also possible that the FAI, anticipating the EAI’s future threat against it, might calculate its expected utility differently. For example, if it deduces that the EAI is waiting until some utility threshold b to make its threat, it might limit its own utility growth at some a<b if it found the threat credible to avoid triggering it.
This seems a lot like the human cognitive bias of loss aversion; I wonder if AGIs would (or should) suffer from something similar.
This doesn’t seem to me to work. It seems the FAI’s best reaction is simply to not grow above b until it’s sure the EAI can’t mess it up, rather than changing it’s own values to ensure the same result.
In that case, one strategy the EAI might employ is to allow the FAI to increase its utility to an arbitrarily high level before threatening to take it away. In this way, it can simulate an arbitrarily large disutility even if the utility function is bounded below. Of course, a high utility might improve the FAI’s position to resist the EAI’s threats.
In this scenario, it is also possible that the FAI, anticipating the EAI’s future threat against it, might calculate its expected utility differently. For example, if it deduces that the EAI is waiting until some utility threshold b to make its threat, it might limit its own utility growth at some a<b if it found the threat credible to avoid triggering it.
This seems a lot like the human cognitive bias of loss aversion; I wonder if AGIs would (or should) suffer from something similar.
This doesn’t seem to me to work. It seems the FAI’s best reaction is simply to not grow above b until it’s sure the EAI can’t mess it up, rather than changing it’s own values to ensure the same result.