> On Jun 25, 2015, at 12:49 PM, Piaget Modeler <[email protected]> > wrote: > > What kinds of reasoning about the physical world are you aiming at?
Discovering and understanding arbitrary relationships between the behavior of entities and their environment over time. > You can escape the frame problem by not trying to model reality in its > entirety. Use reality as a database look things up when needed, only track > what you're interested in. This is circular reasoning. Things that are “interesting” are a product of observing all of reality and identifying things out of the ordinary, where “ordinary” is defined as commonly observed patterns over time. The spatiotemporal context is not just your database, it is your entire computational data model. Even if you use reality for hypothesis testing, a good hypothesis is hard to develop in a vacuum. Also, you can’t just “look things up” in reality; the data has to streamed into computers and indexed so that a computer can find and analyze it. > Use open and close world assumptions advantageously. It turns out that subsets of the physical world do not even approximate a closed system. Models built from closed system assumptions suffer from chronic “black swan” events in practice unless they are limited to very narrow use cases. You mitigate this by fusing as many data sources as possible into a single spatiotemporal context. (Also required for data quality reasons.) ------------------------------------------- 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
