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Perhaps a discussion between the knowledge scientists will occur here, over the next few weeks. http://www.ontologystream.com/beads/beadHome.htm *** Ben said (with great insight): "Any mind has got to be able to transform data into information, and to build ontologies based on the information." <Paul> As a simplification of what the biological system does, particularly higher animal brain systems, the mind does transform "data" into information and then does organize this information through the experience of awareness. Autopoiesis (Maturana and Varela) is the clearest statement of this process. (Already one has some difficulty understanding exactly what "data" is in the context of human experience. But the analogy is a positive start towards architecturing a many to many (M2M) communication device. ) http://www.bcngroup.org/area3/pprueitt/forms.htm *** Real human experience does exist, the question is what is it ! The architecture for the mind is perhaps stratified in the sense that I have been specifying in (for example): http://www.bcngroup.org/area3/pprueitt/kmbook/Chapter5.htm in which open loops (G. Edelman would call this re-entrant processing) establish (what Pribram calls) feed forward processing. These open loop processes "must" pass through epistemic gaps (such as we see in the Heisenburg gap or in the gap between the physics of individual particle trajectories and chemical pressure etc. The Russians often called this the "S- (or entropy theorem)). The biology is very much involved, as are cross scale (non-algorithmic phenomenon involved in emergence and dissolution of wholes greater than the sum of their parts). This is the "new" non-reductionist science. The issue of aggregating data into the invariance (even invariance that is broken up into discontinuous parts - such as passages in complex human dialog) is treated in the notions of categorical abstraction, and the claim that I make is that the human memory systems (Tulving and Schactner) functions in exactly this way. Top down expectancy then inhibits what is a competition of emergent "phase coherences" that ride the underlying physics occurring in the brain-mind system (Levine, Prueitt, Pribram). Hameroff and his circles of scholars may be scoffed at by the AI camp, but the phenomenon that Stu is exposing is real physical phenomenon - as is human consciousness. This scoffing is an indication of the fact that scientific reductionism is in fact a type of religion with tenets that are reinforced using social pressure. This scoffing is NOT science. Don Mitchell and I developed (2000-2002) a system that has categorical abstraction (even on small datasets) and has a means to observe and control various "event chemistries" and so provides a transformation of data into information, and provides for a human vetting of this information space into that part of the information which is meaning ful in context under the control of the human or human community. I believe that this work by Prueitt and Mitchell is the most advanced knowledge technology on the planet at this point - but it is not seen because the markets look at a naked emperor and claims that it is dressed: http://www.ontologystream.com/administration/DARPA/Commentary.htm The scoffing is part of the social pressure to not just look and see. It would be a shame to leave gF/cA/eC behind to work on architecture that is not as fully tuned into the difference between a natural system and a formal system. http://www.bcngroup.org/area3/pprueitt/kmbook/Chapter2.htm But the gF/cA/eC innovation is too far away from the funding stream. At least, so far, one can not bring this up onto the attentional horizon of the "system". But the issues of "impedance mismatch" (Dr Ruth David - CIA technology) between human factors and computer science remain no matter how ignored. *** The architecture of many to many communication requires that a transform of data be made that merges and resolves scope and viewpoint issues, and then presents these issues to humans in an open loop architecture. One such architecture is the following that I proposed in 1998 http://www.bcngroup.org/admin/KNA/ppp/sld001.htm other exists. However, the human factors issues in these types of architectures are often forgotten, and there are good reasons for this. One of these good reasons is that the problem is not so very well understood. But the procurement system is also broken in exactly this regards. My NIMA proposal directly addressed this issue of "human in the loop", and we almost won the right to build a new type of knowledge technology where the human is an essential part of the "system". http://www.ontologystream.com/private/NIMAtechnical.htm But we are on to something else now. And there are lessons learned. ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/
