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Hi,
We
have a bunch of languages that are tailored for particular
purposes
To
feed Novamente data right now, we use either nmsh (Novamente shell) scripts or
XML (using special tags that map into Novamente nodes and links). Psynese
could be represented in either of these approaches....
For
chatting with novamente, XML and nmsh are kinda awkward. A variant of KNOW
(a language created for Webmind) will probably be better.
I
envision early conversations with Novamente (it's not ready to chat with yet) as
occurring in a mixture of English and KNOW.
-- Ben
G
Ben,
After reading your excerpt on Psynese it sounds like a
person might want to learn to communicate with a Novamente using a
Psynese variant or a Psynese constructor. Otherwise the Novamente would
have to funnel it's "hunks o' mind" into English or whatever language is
enabled; kind of like a lossy compression process.
Unless, that is, your Psynese to English translator is - really
good.
Also, seems like if you wanted to feed a Novamente some data, say a
series of worldwide temperature readings, all you'd have to do is convert it
to Psynese and feed er on in!
John
Hi
Gary,
Translation from Psynese to English, I consider
part of the general process by which Novamentes will translate their own
thoughts to English. "Language generation" is a difficult task, though
on balance perhaps a little easier than language
comprehension.
Monitoring of internal thought processes is a more
general thing, not particularly to do with linguistic thought. Of
course it's important!!! in fact, it's really a key part of thought,
not a separate issue.... Thought can only be made acceptably
intelligent via ongoing context-sensitive parameter-tuning, which requires
monitoring to succeed...
--
Ben
Couldn't a translation agent be written to
convert the internal thought process which occurs in Psynese to
English.
Since Psynese is as you say more precise and
Novamente will need to be able to convey final outputs in English anyway
to communicate to humans.
I would think the monitoring of internal thought
process would be both highly interesting and necessary to detect negative
thought patterns and to help Novamente in the rule discovery
process.
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