The only way to test your hypothesis, like the Wright brothers did, is to build working prototypes and then refine them. No way 'round it. Just Do it. (Oh, that's Nike's slogan). ~PM
Date: Wed, 6 May 2015 10:59:23 -0400 Subject: Re: [agi] Re: Starting to Define Algorithms that are More Powerfulthan Narrow AI From: [email protected] To: [email protected] I think that the Wright Brothers approach is appropriate for AI / Stronger AI / AGI as well. However, I also think it is obvious that there is ample evidence that digital programming has made numerous advances in AGI even though the successes seem to lack many human-like methods of thought. I have often wondered why the Wrights got so involved in control surfaces before they had a successful powered flight. Was it just common sense to realize that you needed to 'steer' the plane once it got off the ground, or was it just ego - since they 'knew' they would succeed they designed it for their flights of imagination. Or was it a common meme amongst aeronautical enthusiasts at the time? Or, did they realize, based on their experiments with gliders, that they would be able to extend their flights with mechanisms to control the attack of the plane in the air even though the plane would be heavier. (They decided to use wing warping to control the turns. NASA just tested a jet that is capable of changing the shape of its wings by the way.) Because this last possible reason might be related to the design-experiment-modify the design experiment method as it can be applied to AI / Stronger AI research. I want to find some evidence that my design principles would work to produce Stronger AI. So, by including some control mechanisms in my designs I might be able to stretch the distance it can get with the designs I have in mind. But, if I design for the some-day-in-the-future my control mechanisms would get so heavy that they could become a hindrance to any feasible programs that I might try now. But, by designing for a test I could run in the near future I might find some essential control features that could be lightweight and effective to stretch the capabilities of the program. But you have to have some feasible plan in mind to do that. If you want to try to do something with AGI right now your program (or device) has to be simple but effective - in some way. Even though you might not be able to convince other people based on primitive experiments, you have to be able to find some evidence that your ideas are going to do something different than most contemporary AI programs. AGI | Archives | Modify Your Subscription ------------------------------------------- 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
