One path to advancing research is to take advantage of some low-hanging fruit for mainstream research: A variety of problems in existing academic areas. It might be relatively easier to get people who are working “in the system” to get started on these. For example, reflective decision theory.
Yes exactly. Same thing with value extrapolation algorithms (aka ‘ideal preference’ or ‘full information’ theories of value; see Muehlhauser & Helm 2011.)
Another example: You could discuss many questions in psychology or the philosophy of mind asking how the specifically human aspects differ from what could be found in minds-in-general. This is well-defined enough to be discussed intelligently in a term paper.
(Such discussions in behavioral economics often compare humans to perfect rational agents; in ev.psych, the adaptive value of human psychological features are described. But rarely is the universe of minds under consideration explicitly expanded beyond the human.)
This is great!
One path to advancing research is to take advantage of some low-hanging fruit for mainstream research: A variety of problems in existing academic areas. It might be relatively easier to get people who are working “in the system” to get started on these. For example, reflective decision theory.
Yes exactly. Same thing with value extrapolation algorithms (aka ‘ideal preference’ or ‘full information’ theories of value; see Muehlhauser & Helm 2011.)
Another example: You could discuss many questions in psychology or the philosophy of mind asking how the specifically human aspects differ from what could be found in minds-in-general. This is well-defined enough to be discussed intelligently in a term paper.
(Such discussions in behavioral economics often compare humans to perfect rational agents; in ev.psych, the adaptive value of human psychological features are described. But rarely is the universe of minds under consideration explicitly expanded beyond the human.)