On 8/2/08, Richard Loosemore <[EMAIL PROTECTED]> wrote: > > Thus: in my paper there is a quote from a book in which Conway's efforts > were described, and it is transparently clear from this quote that the > method Conway used was random search:
I believe this statement misinterprets the quote and severely underestimates the amount of thought and design inherent in Conway's invention. In my option, the stochastic search methodologies (practiced mainly by his students) can be considred 'tuning/improvement/tweaking' and NOT themselves part of the high-level conceptual design. But, this topic is a subjective interpretation rabbithole that is probably not worth pursuing further. Back on the topic of OpenCog Prime, I had typed up some comments on the 'required methodologies' thread that were since covered by Ben's **interactive learning** comments, but my comments may still be useful as they come from a slightly different perspective (although they require familiarity with OCP terminology found in the wikibook, and I'm sure Ben will chime in to correct or comment if necessary): 'Teaching' [interactive learning] should be included among those words loaded with much future work to be done. 'Empirical studies done on a massive scale' includes teaching, and does not necessarily imply using strictly controlled laboratory conditions. Children learn in their pre-operational and concrete-operational stages using their own flavor of 'methodological empirical studies' which the teaching stages of OCP will attempt to loosely recreate with proto-AGI entities within virtual worlds in a variety of both guided (structured) and free-form (unstructured) sessions. The complex systems issue comes into play when considering the interaction of OCP internal components (expressed in code running in MindAgents) that modify structures of atoms (including maps, which are themselves atoms that encapsulate groups of atoms to store patterns of structure or activity mined from the atomspace) with each other and with the external world. A key point to consider about MindAgents is that the result of their operation is a proxy for the action of atoms-on-atoms. The rules that govern some of these inter-atom interactions are analogous to the rules within cellular automata systems, and are subject to the same general types of manipulations and observable behaviors (e.g. low-level logical rules, various algorithmic manipulations like GA, MOSES, etc, and higher-level transformations, etc.). It is intended that correct and efficient learning methodologies will be influenced by emergent behaviors arising from elements of interaction (beginning at the inter-atom level) and tuning (mostly at the MindAgent level), all of which is carefully considered in the OCP design (although not yet explicitly and thoroughly explained in the wikibook). -dave ------------------------------------------- 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=108809214-a0d121 Powered by Listbox: http://www.listbox.com
