Pei, I've been reading thru some of the papers on the OSCAR site,
> > http://oscarhome.soc-sci.arizona.edu/ftp/OSCAR-web-page/OSCAR.htm > The general cognitive architecture Pollock proposes there seems reasonable, although I feel it's very incomplete, focusing exclusively on logical inference and then inferential procedure learning. To me, his logic-based learning methods are too "incremental" and "localized" in nature, and I doubt the system will be capable of creative insights or major leaps of learning unless it's significantly modified & augmented. For example, for procedure learning, he basically relies on probabilistic enhancement of standard goal-regression planning algorithms, and I don't think this kind of approach is anywhere near adequate.... However, there is definitely some unique content here, which lies in the details of his theory of "defeasible reasoning" [as opposed to deductive reasoning]. I am curious whether you have any thoughts on his defeasible reasoning approach, and its relation to your own NARS reasoning approach... -- Ben ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/
