On Sat, Jun 16, 2012 at 12:23 PM, Mike Tintner <[email protected]> wrote: > It seems to me that the great frontier for AGI can now be clearly identified > in part as real world reasoning/ real world intelligence - as distinct from > artificial, ideal world reasoning. >
Yes, those are distinct ideas. > Robots are currently incapable of real world travel. With that I have to disagree. Robots can travel in a large variety of real or physical circumstances. There are robots that swim in the ocean, and ones that navigate difficult terrain. There are autonomous robot airplanes, auto-pilots for manned planes and boats, with autonomous boats and cars in development showing some promise. >Computers - or, > better, robotic minds/intelligences- are incapable of real world reasoning > To an extent this is true. Lets examine what reasoning means. Reasons are statements in an argument, that are supportive of the main idea conveyed. quo early 13c., "statement in an argument," also "intellectual faculty that adopts actions to ends," from Anglo-Fr. resoun, O.Fr. raison, quo te bo http://www.etymonline.com/index.php?term=reason from quote be Now a real reason, is a reason people can agree on. A real world reason, is a reason taken from the set of reasons people agreed on. We already have AI's that know real world facts better than humans, as illustrated by Watson AI winning jeopardy against the worlds best. While jeopardy is about trivial mostly useless information, it still shows that an AI can give correct facts. An AGI could do something similar, for finding factual or "real" reasons, to support ideas it proposes. The main algorithm behind Watson, was actually simply cataloging a bunch of google searches, on popular jeapordy trivia keywords, and then doing pattern matching. In a similar way, an GI can find reasons for what it wishes to do. This is for instance often how I find reasons for things, by simply doing a search on the Internet, and linking to it, as above with definition. Ideally the computer shall do more than just pattern match, though I'm sure that would be sufficient for high-school level projects. The additional thing it could do is interpret what it finds, compiling it into a native code it can functionally utilize, similar to what shall be achievable by HSPL GI-OS. ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-c97d2393 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-2484a968 Powered by Listbox: http://www.listbox.com
