Dear John,
I wrote a paper a few years ago:
http://www.matthew-west.org.uk/publications/IntelligenceInSystems.pdf
which takes a rather different approach. Rather than asking whether a system
can fool you into thinking it is a person, it asks what it is about a system
that makes you consider it "intelligent" or "dumb" (we've all encountered
plenty of the later, and maybe a few of the former).
I outlined four signs to look for to assess a systems "intelligence".
. They do things for you, or are helpful for the things you do.
. They are able to cope with the new or unexpected.
. They are able to communicate and "understand" information from different
sources.
. They "understand" their own workings and help you in setting up and using
themselves.
It seems to me that your list below is just focussing on the first of these.
Watson would seem to do at least the first three to a significant degree (I
simply don't know about the fourth).
I personally don't care much about whether a system can fool me into
thinking it's a person. I do care about the list above, and how we can work
towards systems that do these things better (and of course the role of
ontology in achieving them). (01)
Regards (02)
Matthew West
Information Junction
Mobile: +44 750 3385279
Skype: dr.matthew.west
matthew.west@xxxxxxxxxxxxxxxxxxxxxxxxx
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This email originates from Information Junction Ltd. Registered in England
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-----Original Message-----
From: ontolog-forum-bounces@xxxxxxxxxxxxxxxx
[mailto:ontolog-forum-bounces@xxxxxxxxxxxxxxxx] On Behalf Of John F Sowa
Sent: 03 September 2014 16:30
To: [ontolog-forum]
Cc: patrick.w.langley@xxxxxxxxx
Subject: [ontolog-forum] Advances in Cognitive Systems (04)
Volume 3, September 2013 to August 2014, of the Journal _Advances in
Cognitive Systems_ is available for free download: (05)
http://www.cogsys.org/journal/volume-3/ (06)
The editor, Pat Langley, proposed four research challenges that are more
realistic than the Turing test: (07)
http://www.cogsys.org/pdf/paper-9-3-37.pdf (08)
Following are the four challenges: (09)
1. A synthetic entertainer -- a singer-songwriter that people would
enjoy listening to. (010)
2. A synthetic attorney that would interview a client, gather
information, plan a defense, interact with the judge and witnesses,
and prepare and present a closing argument. (011)
3. A synthetic politician that would analyze information about
current issues, write and deliver speeches, answer questions,
and participate in debates with other candidates. (012)
4. A synthetic teacher that would compose lectures on a subject,
present them to students, answer questions during or after the
lectures, generate exercises and tests, and grade the answers. (013)
When the movie _2001: A Space Odyssey_ came out in 1968, Marvin Minsky, who
had been a technical adviser for it, said that the HAL 9000 was a
"conservative estimate" of the state of the art of AI in 2001. (014)
An AI system with the abilities of HAL could do a respectable job as an
entertainer, attorney, politician, or teacher. But there is no research
prototype today that comes remotely close. (015)
I'm not sure about the practical value of synthetic politician, but any AI
system that could do even a subset of the tasks that Langley lists for the
attorney or teacher would be extremely valuable. (016)
Why can't AI do those tasks today? What kind of R & D would help? (017)
John (018)
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