My idea of judgment does rely on reason based reasoning. This definition would seem to favor explicit representation. However, I do recognize that we make some decisions that are not based on explicit reasons so I do include implicit or hidden reasons in my definition of judgment. And the fact that we can use poor judgment or poor reasons for making a decision does seem to weaken the theory. But by making AGI learning partially dependent on previous judgment-mediated learning, the idea does hold together even if it cannot be pinned down to an absolute computational definition.
How does this idea of judgment-mediated-learning tie into a definition of an AGI function that can be differentiated from a Narrow AI function? My idea of conceptual typing, dynamic creative and rational creative functions and trial and error methods can be combined to explain how novel conceptual typing might be developed as the program is running. So that means that I have an explicit way of dynamically developing new ways of looking at the data as the program is running. In most contemporary AGI models this is not detailed. So, artificial judgment can examine the presumptions behind the conceptual structures that are running as well as develop results that are dependent on them. - Jim Bromer ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
