So I guess this is more or less now just to get you up to date Johno This is what uh This is a meeting for me um Eva Bhaskara and I did Did you add more stuff to it later Um Why Um I don't know There were like the you know and all that stuff But I thought you you said you were adding stuff but I don't Uh no This is Um Ha Very nice Um so we thought that We can write up uh an element and for each of the situation nodes that we observed in the So the situation like at the entity that is mentioned if we know anything about it Is it under construction Or is it on fire or something happening to it Or is it stable and so forth going all the way um f through Parking Location Hotel Car Restroom Riots Fairs Strikes or Disasters is This is A situation are is all the things which can be happening right now Or what is the situation type basically just specifying the the input for the w Oh I see y Why are you specifying it in XML Um Just because it forces us to be specific about the values here OK And also I mean this is a what the input is going to be Right So we will uh This is a schema This is Well yeah I just don't know if this is th l what the Does This is what Java Bayes takes as a No because spec mean if we I mean sure gonna interface to gonna get an XML document from somewhere Right And that XML document will say We are able to We were able to observe that w the element um of the Location that the car is near So gonna be Um So this is the situational context everything in it Is that what Situation is short for shi situational context Yep OK So this is just again a an XML schemata which defines a set of possible uh permissible XML structures which we view as input into the Right And then we can r uh possibly run one of them uh transformations That put it into the format that the Bayes n or Java Bayes or whatever wants Yea Are you talking are you talking about the the structure Well it I mean when you observe a node you when you say the input to the v Java Bayes it takes a certain format right Which I don't think is this Although I don't know No certainly not this Nuh So you could just Couldn't you just run a XSL Yeah Yeah To convert it into the Java Bayes for format Yep OK no problem but I even think that um I mean once Once you have this sort of as running as a module Right What you want is You wanna say OK give me the posterior probabilities of the node when this is happening Right When the person said this the car is there raining and this is happening And with this you can specify the happening in the situation and happening with the user So we get After we are done through the Situation we get the User Vector So this is a So this is just a specification of all the possible inputs Yep And all the possible outputs too OK So we have um for example the uh decision node which has two elements and its posterior probability and and its posterior probability because the output is always gonna be all the decision nodes and all the the a all the posterior probabilities for all the values And then we would just look at the eh Struct that we wanna look at in terms of if if only asking about one of the So like if just interested in the node I would just pull that information out of the Struct that gets return that would that Java Bayes would output Um pretty much yes but I think a little bit more complex As if I understand it correctly it always gives you all the posterior probabilities for all the values of all decision nodes So when we input something we always get the uh posterior probabilities for all of these Right OK So there is no way of telling it t not to tell us about the EVA values Yeah wait I agree yeah use oh uh Yeah OK So so we get this whole list of of um things and the question is what to do with it what to hand on how to interpret it in a sense So y you said if you only interested in whether he wants to go there or not then I just look at that node look Look one that Struct in the output right Yep Look at that Struct in the the output even though I wouldn't call it a Struct But Well i well an XML Structure being res returned Oh right So every part of a structure is a Struct Yeah Yeah I just uh I just was abbreviated it to Struct in my head and started going with that That element or object I Not would say not what I was Yeah trying to k though yeah OK And um the reason is why I think a little bit more complex or why why we can even think about it as an interesting problem in and of itself is Um So The uh look at an example Well w wouldn't we just take the structure outputted and then run another transformation on it that would just dump the one that we wanted out Yeah w need to prune Right Throw things away Well actually you don't even need to do that with XML D Can't you No look at one specific Yeah exactly The Xerxes allows you to say u Just give me the value of that and that and that But we don't really know what interested in before we look at the complete at at the overall result So the person said um Where is X and so we want to know um is Does he want info o on this or know the location Or does he want to go there assume this is our our question Nuh So Um Do this in Perl So we get OK assume this is the output So We should con be able to conclude from that that I mean always gonna give us a value of how likely we think i it is that he wants to go there and doesn't want to go there or how likely it is that he wants to get information But maybe w we should just reverse this to make it a little bit more delicate So does he wanna know where it is or does he wanna go there He wants to know where it is Right I I I tend to agree And if If Well now y I mean you And could i if sort of a clear winner here