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I am a entrepreneur/researcher working to create artificial intelligence. My approach follows Turing's suggestion that one should create a child mind and procee
by SlipperySlope 14y ago
I am a entrepreneur/researcher working to create artificial intelligence. My approach follows Turing's suggestion that one should create a child mind and proceed to educate it. I employ Construction Grammar in my English dialog system - not a statistical parser/generator. Operating on a smartphone, I use available statistical speech recognition engines to transform speech to text, but from that point onwards the server-side processing in Construction Grammar is symbolic, thus engineered from first principles. Likewise, for English generation, my discourse planner emits structured RDF that the bi-directional Construction Grammar generator transforms into a text utterance. That symbolic text is then input to an available statistical text-to-speech engine available on the smartphone, to speak to the user.
As an example of the power of symbolic approaches, my parser has a complete symbolic analysis of English auxillary verb constructions, producing unique, meaning-rich, RDF-compatible semantics for:
I am learning about computers.
We are learning about computers.
We will be learning about computers.
I could be learning about computers.
I have been learning about computers.
I better learn about computers.
I had better learn about computers.
I dare learn about computers.
I did learn about computers.
I do learn about computers.
He does learn about computers.
I had learned about computers.
He has learned about computers.
I have learned about computers.
He is learning about computers.
I need learning about computers.
I ought to learn about computers.
I ought to be learning about computers.
I used to learn about computers.
I was learning about computers.
We were learning about computers.
Because of the so-far limited success of my work, I am inclined to agree with Chomsky's AI argument despite using a modern grammar opposed to his linguistic principles.
An artificial intelligence will use both statistical techniques and symbolic, e.g. procedural techniques, I think. With the most useful intelligent behavior being symbolic. E.g. an AI designing, writing and testing software.