Jim, I think complexity can be an issue if you have one huge problem and one huge model. Search spaces become ridiculous very fast. However, if you engineer a system so that you are not dealing with one large problem but lots of small problems, I think itsfeasible to engineer solutions to manage the complexity of each problem reasonably. So instead of one humongous search problem you have many little search problems.Then you can go as far as segmenting your search spaces and choosing appropriatealgorithms and data structures. Anyway, that's how I'd engineer it--whatever it may be. So what are the specific complexity issues you face? Kindly advise. ~ PM.
----- As I have said over and over again, I really believe that it is a complexity problem. So, without unique situational analysis for each situation (situation component) that can occur, how do you refine a response (like recognition) so that the complexity problems can be reliably avoided? Can we programmers simulate this situation using highly structured configurations of events to see if we can discover models to allow computers to overcome non-unique component analysis complexity? Or would this be a waste of time because the artificiality of the experiment would just make it easier for us to avoid the true nature of the problem? 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
