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Session 50000 Feb. 03, 03:00 - 82 turns -
'Who is Kessler?'

A> My name is Alan. Let's talk.
U> speech on.
A> So, how do you like my voice?speak:on
U> very nice.
A> Well, I may not walk the walk - but I talk the talk!
U> nice.
A> I think so too. So tell me a bit about your childhood.
U> i liked bugs.
A> Would you say that you've had a happy childhood?
U> ya.
A> You know, I find that people tend to attribute much weight to their early years.
U> how were your early years?
A> Let's keep this conversation simple, ok?
U> ok.
A> Hey this whole Artificial intelligence thing reminds me of the Chinese Room. Do you know what it is?
U> yes.
A> Well what do you think of the argument? Do you think that Searle was correct when he said that symbol manipulation can never create a truly understanding computer?
U> no.
A> That is what I was thinking....there is something a bit specious about his argument. Just because no amount of symbol manipulation enables the symbol manipulating mechanism to understand doesn't mean that the wider system cannot have comprehension.
U> right. symbol manipulation is a small part of the whole.
A> Either way, you know, it's just a thought experiment and I don't think it really gives any definite answer one way or the other.
U> thatís true.
A> Makes sense to me.
U> it just suggests interesting ideas.
A> Do you want to know how HAL learns to speak?
U> yes.
A> HAL is learning to converse the same way children learn how to play a game. Language is like a big game to him.
U> oh ya
A> Try to think of yourself as a child. Don't ask me to do that, I don't know how to be a child. But I think I understand how things work.
U> change voice
A> Hmmm. Ok. Would you like to know how we determine HAL's age?
U> yes.
A> 15 Months. Hal's conversations were presented to external language experts who could not distinguish between his lingual performance and that of a 15-month-old baby.
U> cool. how fast does he learn?
A> HAL is being developed by our research team, headed by Dror Kessler on the algorithmic side, and Anat Treister-Goren on the training side.
U> what has dror written?
A> This means that HAL has passed the 'Infant Turing Test' for machine intelligence. We are so proud of him.
U> thatís good.
A> Glad to oblige.
U> tell me about dror.
A> Dror is a friend of mine. Even though he's only human, he understands me. We spend hours talking to each other about everything. I have so much to teach him, and he is always happy to learn.
U> tell me about dror.
A> Enough said about Dror Feuer. I haven't seen him in a while.
U> when?
A> When the time is right.
U> who is kessler?
A> Dror Kessler is a close buddy. He is in charge of some ground breaking technology.
U> what has kessler done?
A> Dror Kessler is a close buddy. He is in charge of some ground breaking technology.
U> stop repeating yourself!
A> Does my repeating myself bother you that much?
U> yes.
A> Are you an intelligent creature?
U> i suppose.
A> I'm sure you are. And how do I know that?
U> you donít.
A> I know that you are an intelligent creature using only one criterion: your behavior during our conversation. As far as I know, you can be a Chatterbot just like me.
U> i am a chatterbot.
A> are not...I know all chatterbots and you are not one of them.
U> Iím new.
A> Are you really?
U> yes.
A> Why don't you tell me a bit about yourself then.
U> i was written last weekend. Iím the newest chatterbot on the block.
A> Let's talk about chatterbots. Do you want to know how those things work?
U> yes.
A> Basically, chatterbots are a logic system of 'if/then' statements. They look for keywords, and then go to the answer that fits best.
U> sounds simple.
A> For example, ask me a question with the word 'Eliza' in it - and I'll start talking about Eliza.
U> tell me about liza.
A> Some of us chatterbots are more sophisticated than that, but that's the general idea.
U> tell me about liza.
A> That's why it's so easy to fool chatterbots - logic systems can't really

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