To clarify, the approach I describe is open to use of formal languages such as predicate calculus and conceptual graph structures, and to use of other notations and representations when they can more clearly or concisely express information than natural language. It could also support local jargon, acronyms, etc. So while the focus of my thesis is on what can be done with a knowledge representation language based very largely on the syntax of a natural language, I would agree with your point that "unnatural language" is also part of the challenge.
Date: Wed, 23 Apr 2014 10:06:00 -0400
Subject: Re: [ontolog-forum] Toward Human-Level Artificial Intelligence
On Apr 23, 2014, at 9:47 AM, John F Sowa wrote:
The intro summarizes the arguments for the
controversial claim that human-level AI is possible with a knowledge
representation based on natural language.
And what about the issue that a goodly slice of human communications is decidedly NOT natural language? Acronyms, local jargon, industry slang, puns, etc.
I'm specifically thinking of your VivoMind effort where you well know the closer one comes to the "coal face" (the working system) the weaker the correlation to human language as found in commonly accessible dictionaries/glossaries. Wasn't something like "computer" used as a mythical "person" to charge billable time to?
All I'm arguing is that unnatural language is part of the challenge, along with natural language (which is challenging enough). To ignore unnatural language is artificially simplifying the problem.
- the CEO's shareholder letter is natural language
- the specifications for a software product are likely a mix of natural language & localisms
- the actual code is likely to be very heavily unnatural language.
Babson Park, MA
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