Interpretations of a phrase and the production of a phrase can be based on more than one motivating factor or more than one rule system (more than one rule-like principle.) So when new ideas are being examined, a simple sentence might be used to indicate individual underlying principles that can be used to understand the idea. But a more sophisticated form of sentence might be used to indicate that the idea can be applied or analyzed in different ways. This is a simple example of conceptual integration. I am trying to say that the idea of regular strings, context-free strings and context-sensitive strings can be applied to this theory of learning as methods and as metaphors.
Jim Bromer On Mon, Apr 7, 2014 at 9:38 AM, Jim Bromer <[email protected]> wrote: > I have spent about 12 hours on my AI / AGI project so far this year, so I > decided to end my self-imposed ban from the group since participating in > this group seems to motivate me to work on my project. > > I think that I can use language to instruct an AI program to learn about > the things that I can communicate through language. The program would be > able to pick up factoids via simple language (similar to regular strings > and context-free strings) but it would also be able to try to utilize > knowledge and to acquire more insight through more complicated language > (similar to context-sensitive strings). For example, (an abstract example), > if it was trying to understand something that did not conform to some facts > that it was familiar with (using higher level sentential structures that it > was familiar with) it could use progressively more simple sentences to try > to fit the new facts into the knowledge that it had previously acquired. > Since I would be able to detect this, I, (as programmer-teacher), should be > able to be able to make a good guess about the kind of knowledge that > it might use effectively at that point. > > One problem is that word-concepts may change, not only in their > application but in the level of abstraction and particularization. A word > or a phrase can even be both more particular and more general at the same > time. An exemplar is an example of this. For a program to benefit from this > kind of abstraction-generalization polymorphism (many shapes-not OOP > polymorphism) it has to be capable of both context-free (like) > communication and context-sensitive (like) communication. It has to be able > to plug new ideas into preexisting knowledge in simple ways, but then it > has to try to derive some guesses about these new ideas in more > sophisticated ways. > > This is a very simple explanation of how my program should work. I feel > that AGI has failed just because knowledge is too complicated. But, I want > to show that a basic strategy which includes the kind of thing that I > mentioned here makes sense and it should work - at least until the > knowledge base becomes too complicated. > 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
