Russ:PDF: http://louisville.edu/speed/computer/tr/UL_CECS_02_2011.pdf/at_download/file ) is a good read on that question.
The paper concludes: "Progress in the field of artificial intelligence requires access to well defined problems of measurable complexity." ...and all AGI problems including language use and vision are ILL-defined, creative and not measurable as opposed to well-defined, rational and measurable. Think just of essays, papers and projects which compose well over 50% of education as distinct from IQ, SAT, knowledge tests and the like - they cannot be measured, only graded. Creative/AGI intelligence is a whole different world and level of problemsolving/intelligence from rational/narrow AI intelligence. High-level as opposed to low-level intelligence. (At least this paper has a few glimmers of the breadth of human problemsolving rather than being purely mathematical/logical). On 27 November 2013 04:05, Russ Hurlbut <[email protected]> wrote: > It is good practice to find truth in statements such as these before > dismissing them. This often requires adopting one or more contexts. > > In this case, if one assumes a traditional definition of "AI-complete" by > extending Hobbs statement to imply actually creating an artificial > intelligence, then anything short of AI-Complete would be fall under Hobb's > definition of "computer science." If one chooses to apply the dual process > theory ( http://en.wikipedia.org/wiki/Dual_process_theory#Systems ), then > one could argue that an Expert System would fit Hobbs definition of fast, > computer science. Conversely, the massively parallel unconscious processing > that humans regularly perform (e.g. in speech, vision) would require > enormous computing resources and considerable time - even more so using > resources available twenty years ago. > > Does solving syntactic ambiguity really result in creating an artificial > intelligence? Yampolskiy's paper AI-Complete, AI-Hard, or AI-Easy: > Classification of Problems in Artificial Intelligence (PDF: > http://louisville.edu/speed/computer/tr/UL_CECS_02_2011.pdf/at_download/file) > is a good read on that question. > > > On Tue, Nov 26, 2013 at 3:19 PM, Piaget Modeler <[email protected] > > wrote: > >> Hobbs' statement: >> >> >> *Q: What is the difference between computer science and artificial >> intelligence? * >> *A: In computer science you write programs to do quickly what people do >> slowly. In artificial intelligence, it is just the opposite.* >> >> In AI we don't write programs to do slowly what people do quickly. In >> Expert Systems in particular, once it is known what people >> do symbolically, an expert system often does the symbol manipulations faster >> that a person. Also, Expert Systems can perform >> those symbol manipulations 24 x 7 x 365. Thereby bringing consistency, >> accuracy, and endurance to the formerly human task. >> >> This statement is clearly false. >> >> ~PM >> *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> >> <https://www.listbox.com/member/archive/rss/303/18488709-8cf25195> | >> Modify <https://www.listbox.com/member/?&;> Your Subscription >> <http://www.listbox.com> >> > > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/6952829-59a2eca5> | > Modify<https://www.listbox.com/member/?&;>Your Subscription > <http://www.listbox.com> > ------------------------------------------- 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
