Steve Thank you for this. With regards knowledge maturity, my field experiments have shown to be true what you just stated. Furthermore, using my knowledge-engine modeling technique it was learned in general that the quality of the contextual model was directly proportional to the quality of the knowledge input.
However, during one, particular work session I had the equivalent of 560 years' worth of knowledge/experience represented by my input population for a specific domain. In other words, there were 38 persons in the work session and their collective, domain knowledge equaled 560 years. Specifically then, the session time was less than the standard, 4 hours. The results were exponential in relative value (when compared to at least 10 other sessions for the same domain), and the typical knowledge life cycle of 5 iterations was shortened to between 2 and 3. In conclusion, high-end IQ contributed proportionally to this exponential result. The structured knowledge became the yeast to the dough and the whole became more than the sum of the parts. Perhaps then not so much the age of the person, than the age of the knowledge/experience. Having the knowhow to translate such a body of knowledge in a systems format into a standard, computational model, would rapidly enable an AGI knowledge base. In my view, the key is the involuntary, context-to-computational model translator. Where such AGI "minds" were interconnected to form a seamlessly-integrated larger "mind" - a knowledge singularity - aging of knowledge to achieve ubiquitously-held High-End IQ in each, connected AGI "mind", should be no more than a function of enabling hardware. Robert Benjamin ________________________________ From: Steve Richfield via AGI <[email protected]> Sent: Thursday, 18 October 2018 10:27 AM To: agi Subject: [agi] High-end IQ IQ = 100 * mental age / physical age For the moment, let's excuse people who aren't smart, and those who "top out" instead of continuing to develop through their life. What do smart 40-year-olds have that smart 20-year-olds are missing, and then what do they pick up by their 60s, 80s, etc? My own impression is that a context emerges that permits a wider range of thinking than younger minds can grok, based on MUCH more experience from which to draw understanding. A 40-year-old has TWICE the work experience of a 30-year-old. By the time they reach 60, their work experience has doubled again. They have seen a LOT of things work, and have seen a LOT of things fail, etc. Anyway, that is my thought, but maybe I am missing something important? If AGIs are ever to reach some level of brilliant maturity, we need to understand what brilliant maturity is all about. Thoughts? Steve Artificial General Intelligence List<https://agi.topicbox.com/latest> / AGI / see discussions<https://agi.topicbox.com/groups/agi> + participants<https://agi.topicbox.com/groups/agi/members> + delivery options<https://agi.topicbox.com/groups/agi/subscription> Permalink<https://agi.topicbox.com/groups/agi/Tb561a65c9170651e-M24927fbd9a196e0cb5459036> ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tb561a65c9170651e-M7d4e204c2bb77f9301b680aa Delivery options: https://agi.topicbox.com/groups/agi/subscription
