IFrom: Jim Bromer [mailto:[email protected]] Sent: Wednesday, January 07, 2009 8:24 PM
All of the major AI paradigms, including those that are capable of learning, are flat according to my definition. What makes them flat is that the method of decision making is minimally-structured and they funnel all reasoning through a single narrowly focused process that smushes different inputs to produce output that can appear reasonable in some cases but is really flat and lacks any structure for complex reasoning. Consider a wave machine made of oil and color water. Technically speaking the information is flat even under chaos stimulation because the sum of the top oil and the bottom water remains constant within the limits of the power parameters of the system. This is a pure 3D correlational wavelet opponent processing machine. The system is globally entangled to new information but the response time is globally slow. Now insert floating needles locked into a mao location that go up and down from the modulations. Let the needles make contact with a parallel processor. The on and off switching is read with a constant Paul rf trap and protected in parallel modulating string pulses. The information is sent to another wave machine and the flowing needles electromagnetically can be make to move up and down duplicating the pure gaussian memory of the first wave machine with some lost of noise. Noise is not noise, it is the declining value of previous information. The system makes calculations in a relative zero energy value or opponent process. Noise is important for creative thought and intelligent behavior. Now let see this process phase locked or a snap shot picture. The information is globally flat because it is a parallel opponent process but contains reciprocal Eigenfunction to produce the opponent process summation interference if the picture was reversed and both added together. The new picture would be a flat gray. The brain and a good AGI would have trouble keeping up with the data flow at a particular location just like the wave machine but over a slow gaussian reference rf trap the summation would approach zero. A good AGI machine would have a slow integration time or oscillon output picture or http://www.youtube.com/watch?v=hvTzeWXCqXQ . Now consider a self programming electronic wave machine with two systems - a object map system and an action map system. Example http://oolong.co.uk/resonata.htm locked into the forth harmonic. The two systems are Eigenfunction. Example a child says loudly MILK!. Milk as a stimulus means at the same time when it hits the dual memory map the object milk and it is entangled with its Eigenfunction for action map - get MILK now. The program get milk now is turned on. Because the action program is turned on it does a data input into the gaussian data base for milk. That is what entangled memory means. ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=123753653-47f84b Powered by Listbox: http://www.listbox.com
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