I really am not trying to be disruptive. I think the conversation about Sergio's theory is interesting. However, I don't see hubris as the avenue of science.
Right now there are good models of simple neural connections but there aren't any that explain how intelligence actually works. I have been hoping that Sergio would give up on the endless sales pitch and explain the kernel of his idea, but I guess I will have to study posets and try to figure it out for myself. The problem with the simplistic solutions is that they fail to deal with the complications. So, ok, information theory might be used to analyze signals and it might be used effectively in neural science, but it doesn't explain general intelligence and it is not adequate for every kind of measurement you might want to make in neural science. This should be so obvious that it should not need to be said. Similarly, Friston's ideas may be interesting but it hasn't been used effectively to explain general intelligence. The problem is that, like most of the other conjectures made so far, one can use the theory to model simple problems (or to imagine simple problems being so modeled) but once you try to turn that into a model of general intelligence the program will fail. You can reduce the complications and complexity of the problem by any number of methods but most of them won't work. There may be something similar to a just-in-time method in AI that might be called when-its-needed, but so far, no one has demonstrated how anything like that could work. A when-its-needed computation or projection won't be based on global or a priori general entropy reduction because, assuming that the rapidity of the development of thought and of habit is dependent on the richness of the detail available and the extent of hierarchical cross indexing available, I would say that general massive entropy reduction would be an obstacle to insightful guessing, projection and learning. Jim Bromer ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-c97d2393 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-2484a968 Powered by Listbox: http://www.listbox.com
