input: Text: Grad C: Now can you give me the uh <unk>pause<unk> remote T? Professor D: OK, so Eva, co uh <unk>disfmarker<unk> could you read your numbers? Grad A: Go ahead and read. OK. Professor D: Yeah. Grad C: Alright. Professor D: Yeah, let's get started. Um <unk>disfmarker<unk> Hopefully Nancy will come, if not, she won't. Grad B: Uh, Robert, do you uh have any way to turn off your uh screensaver on there so that it's not going off every <unk>disfmarker<unk> uh, it seems to have about at two minute <unk>disfmarker<unk> Grad C: Yeah, I've <unk>disfmarker<unk> I <unk>disfmarker<unk> uh <unk>disfmarker<unk> it's not that I didn't try. Grad B: OK. Grad C: and um I <unk>disfmarker<unk> I told it to stay on forever and ever, but if it's not plugged in it just doesn't obey my commands. Grad B: OK. Grad C: It has a mind. Grad B: Got it. Grad C: But I I just <unk>disfmarker<unk> You know, sort of keep on wiggling. Undergrad E: Wants to conserve. Grad B: Yeah, OK. Grad C: But uh <unk>disfmarker<unk> we 'll just be m m working on it at intensity so it doesn't happen. We 'll see. Should we plunge right into it? Professor D: Yeah. Grad C: So, would you like to <unk>disfmarker<unk> Professor D: I think so. Grad C: So what I've tried to do here is list all the decision nodes that we have identified on this <unk>pause<unk> side. Commented and <unk>disfmarker<unk> what they're about and sort of
  Question: What was the proposed structure of the belief net.
  Answer:
output: The team discussed that the organisation of the intermediate nodes of the belief-net and their properties is almost complete, although no conditional probabilities have been inserted yet. These nodes represent decisions that will function as parameters to action calls in the system. Their values will either be inferred from the user-system interaction, or -as a last resort- requested directly from the user.