I was trying to say that even the simplest simulation might be worthwhile because our algorithms for handling multiplicity of possibilities - outside of contemporary relational databases - don't seem that great.
Jim Bromer On Tue, May 27, 2014 at 11:05 PM, Piaget Modeler via AGI <[email protected]>wrote: > Perhaps we have to define an amoeba agent with very few needs and actions > in order to get measurable and verifiable results. > > Or we can just use one of the Turing Test variants that are around. > > ~PM > > ------------------------------ > Date: Tue, 27 May 2014 15:34:38 -0400 > Subject: [agi] Even a Simple Narrow Simulation Might Be Interesting > From: [email protected] > To: [email protected] > > > > I was trying to set up a simple ground rule case for a partial simulation > of AGI. As I started by thinking of the simplest case I could imagine and I > found that it was a little more interesting than I thought it would be. > > I realized that the old numerical range could be used to test some > important ideas. The idea is that a set of narrow AI implementations could > be used to develop and test multiple possibility indexing. Suppose that the > program has learned various responses to thousands of situations. These > responses may be weighted for variations in kinds of cases. So in a typical > situation the program might detect hundreds of different characteristics > (in the observable input environment) that it had learned to associate with > some response so it would have to find strategies to choose the best > responses for the situation and strategies to learn from the experience. > > Even if the situation - which is input to the simple AI program - is made > of distinct components, the possible combinations that might be relevant to > finding a good response could be very complex. For example, if it learned > abc represented a situation that it should respond to (with some kind of > response), it might wonder if abxc was a variant of that situation. > > The problem here is managing and indexing of multiple possible responses > that were reasonable for a particular component-of-a-situation when the > typical situation might consist of hundreds of situation components. > > So even a very simple AI simulation might lead to some interesting results. > (Of course there would have to be some way to evaluate the responses so > the simple simulation would either have to be tied to some game or it would > have to be worked out carefully). > Jim Bromer > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/19999924-4a978ccc> | > Modify <https://www.listbox.com/member/?&;> Your Subscription > <http://www.listbox.com> > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/24379807-f5817f28> | > Modify<https://www.listbox.com/member/?&;>Your Subscription > <http://www.listbox.com> > ------------------------------------------- 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
