D: So one thing that might be helpful which is implicit in the use of " admission fee discussion " as a cue for entry ,  is thinking about the plans that various people might have .
D: Like all the different sort of general schemas that they might be following
D: OK .
D: This person is um , finding out information about this thing in order to go in as a tourist or finding out how to get to this place in order to do business .
D: Um , because then anything that 's a cue for one of the steps would be slight evidence for that overall plan .
D: Um , I don't know .
D: They 're in in non in sort of more traditional AI kinds of plan recognition things you sort of have  you know , some idea at each turn of agent doing something ,
D: " OK , wha what plans is this a consistent with ? "
D: and then get s some more information and then you see " here 's a sequence that this sort of roughly fits into " .
D: It it might be useful here too .
D: I I don't know how
A: Mm - hmm .
D: you know you 'd have to  figure out what knowl what knowledge representation would work for that .
A: I mean the  u u
B: Hmm .
A: It 's in the these these these plan schemas .
A: I mean there are some some of them are extremely elaborate ,
A: you know .
A: " What do you need need to buy a ticket ? "
D: Mm - hmm .
A: You know ?
D: Mm - hmm .
A: and it it 's fifty steps ,
D: Mm - hmm .
A: huh ?
A: just for buying a ticket at a ticket counter ,
A: you know , and and maybe that 's helpful to look at it to look at those .
A: It 's amazing what human beings can do .
A: W when we talked uh we had the example , you know , of you being uh a s a person on a ticket counter working at railway station
A: and somebody r runs up to you with a suitcase in his hands , says New York
A: and you say Track seven ,
A: huh ?
A: And it 's because you know that that person actually is following , you know You execute a whole plan of going through a hundred and fifty steps , you know , without any information other than " New York " ,
A: huh ?
A: inferring everything from the context .
A: So , works .
A: Um , even though there is probably no train from here to New York ,
A: right ?
D: Mmm .
D: Not direct .
B: You 'd uh probably have to transfer in Chicago .
A: Mm - hmm .
A: But uh it 's possible .
A: Um , no you probably have to transfer also somewhere else .
A: Right ?
A: Is that t San Francisco , Chicago ?
B: I think A: Is that possible ?
B: One time I saw a report on trains ,
B: and I think there is a l
B: I don't know if B: I thought there was a line that went from somewhere ,
B: maybe it was Sacramento to Chicago ,
B: but there was like a California to Chicago line of some sort .
A: Mm - hmm .
A: Hmm .
B: I could be wrong though .
B: It was a while ago .
D: The Transcontinental Railroad ,
D: doesn't that ring a bell ?
D: I think it has to exist somewhere .
B: Yeah
B: but I don't know if it 's still B: They might have blown it up .
A: Well it never went all the way ,
A: right ?
A: I mean you always had to change trains at Omaha ,
D: Well most of the way .
D: Uh . Mm - hmm .
A: right ?
A: One track ended there and the other one started at five meters away from that
D: Yeah .
A: and sort of D: Well . You seem to know better than we do so .
A: yeah ?
A: Has anybody ever been on an Amtrak ?
D: I have .
D: But not transcontinentally .
B: I 'm frightened by Amtrak myself .
C: What ?
C: Why ?
B: I just B: They seem to have a lot of accidents on the Amtrak .
C: Really ?
A: Their reputation is very bad .
B: Yeah . Yeah .
A: huh ?
A: It 's not maybe reality .
D: It 's not like German trains .
D: Like German trains are really great
D: so .
A: But you know , I don't know whether it 's which ones are safer , you know , statistically .
D: Um , but they 're faster .
C: Yeah .
A: Much faster .
A: Mm - hmm .
C: And there 's much more of them .
C: Yeah , they 're Yeah , it 's way better
A: yeah I used um Amtrak quite a bit on the east coast
A: and I was surprised .
D: Mm - hmm .
A: It was actually OK .
A: You know , on Boston New York ,
D: Yeah .
A: New York Rhode Island ,
C: Yeah .
C: I 've done that kind of thing .
A: whatever ,
A: Boston .
D: Mm - hmm .
A: Yeah .
A: But A: That 's a different issue .
B: This is going to be an interesting transcript .
A: Hmm ?
C: I I want to see what it does with uh " landmark - iness " .
C: That 's B: Yeah .
D: Let 's all say it a few more times .
D: Just kidding .
C: So .
B: It 'd help it figure it out .
D: Right .
C: Yeah .
D: So by the way tha that structure that Robert drew on the board was like more um ,  cue - type - based ,
D: right ,
D: here 's like we 're gonna segment off a bit of stuff that comes from discourse
D: and then some of the things we 're talking about here are more D: you know , we mentioned maybe if they talk about um ,
D: I don't know ,
D: entering or som you know like they might be more task - based .
B: Hmm .
D: So I I don't know if there There 's obviously some m more than one way of organizing the variables into something
D: so .
A: I think that um What you guys did is really nicely sketching out different tasks , and maybe some of their conditions .
D: Mm - hmm .
A: One task is more likely you 're in a hurry when you do that kind of s doing business ,
D: Mm - hmm .
A: and and less in a hurry when uh you 're a tourist
A: Um  tourists may have never have final destinations , you know because they are eternally traveling around
A: so maybe what what what happened what might happen is that we do get this sort of task - based middle layer ,
D: Mm - hmm .
D: Mm - hmm .
A: and then we 'll get these sub - middle layers , that are more cue - based .
D: That feed into those ?
A: Nah ?
D: Mm - hmm .
A: Might be might be a nice dichotomy of of the world .
A: So , um I suggest w to for to proceed with this in in the sense that maybe throughout this week the three of us will will talk some more about maybe segmenting off different regions ,
A: and we make up some  some toy a observable " nodes " A: is that what th
B: Refined y re just refine the C: OK .
A: What 's the technical term ?
C: For which ?
A: For the uh nodes that are observable ?
A: The " outer layer " ?
C: Just observable nodes ,
C: evidence nodes ?
B: The features ,
B: I don't know ,
B: whatever you A: Feature ma make up some features for those C: Yeah .
A: Identify four regions ,
A: maybe make up some features for each region
A: and uh  and uh , uh and uh A: middle layer for those .
A: And then these should then connect somehow to the more plan - based deep space
C: Yeah .
B: Basically just refine some of the more general nodes .
A: Yep . The - they they will be aud ad - hoc for for for some time to come .
C: Yeah , this is totally like C: The probabilities and all are completely ad - hoc .
C: We need to look at all of them .
C: I mean but , they 're even like  I mean like , close to the end we were like , uh , you know we were like uh really ad - hoc .
D: It 's a even distribution .
D: Like ,
D: whatever .
C: Right ?
C: Cuz if it 's like , uh If it 's four things coming in ,
C: right ?
C: And , say , some of them have like three possibilities and all that .
C: So you 're thinking like like a hundred and forty four or something possible things numbers to enter ,
D: And D: That 's terrible .
C: right ?
C: So .
B: Some of them are completely absurd too ,
D: That 's uh  Well B: like  they want to enter , but it 's closed ,
B: it 's night time ,
B: you know
B: there are tourists and all this weird stuff happens at the line up and you 're like C: Yeah , the only like possible interpretation is that they are like come here just to rob the museum or something to that effect .
B: confused .
D: In which case you 're supposed to alert the authorities , and see appropriate action .
C: Yeah .
B: Yeah .
C: Yeah , another thing to do , um , is also to , um I guess to ask around people about other Bayes - net packages .
C: Is Srini gonna be at the meeting tomorrow ,
C: do you know ?
D: Maybe .
A: The day after tomorrow .
C: Wait D: Quite possibly .
D: Oh , oh , sorry .
A: Wednesday .
C: Day after tomorrow .
C: Yeah .
D: Sorry ,
D: Wednesday ,
D: yeah .
C: Maybe we can ask him about it .
B: Who 's talking on Wednesday ?
D: Mmm .
B: I haven't J Jerry never sent out a sent out an email ,
B: did he , ever ?
C: No .
C: But he mentioned at the last meeting that someone was going to be talking ,