Part 1 I feel that complexity is a major problem facing contemporary AGI. It is true, that for most human reasoning we do not need to figure out complicated problems precisely in order to take the first steps toward competency but so far AGI has not been able to get very far beyond the narrow-AI barrier.
I am going to start with a text-based AGI program. I agree that more kinds of IO modalities would make an effective AGI program better. However, I am not aware of any evidence that sensory-based AGI or multi-modal sensory based AGI or robotic based AGI has been able to achieve something greater than other efforts. The core of AGI is not going to be found in the peripherals. And it is clear that starting with complicated IO accessories would make AGI programming more difficult. It seems obvious that IO is necessary for AI/AGI and this abstraction is a probably more appropriate basis for the requirements of AGI. My AGI program is going to be based on discreet references. I feel that the argument that only neural networks are able to learn or are able to incorporate different kinds of data objects into an associative field is not accurate. I do, however, feel that more attention needs to be paid to concept integration. And I think that many of us recognize that a good AGI model is going to create an internal reference model that is a kind of network. The discreet reference model more easily allows the program to retain the components of an agglomeration in a way in which the traditional neural network does not. This means that it is more likely that the parts of an associative agglomeration can be detected. On the other hand, since the program will develop its own internal data objects, these might be formed in such a way so that the original parts might be difficult to detect. With a more conscious effort to better understand concept integration I think that the discreet conceptual network model will prove itself fairly easily. I am going to use weighted reasoning and probability but only to a limited extent. ------------------------------------------- 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
