Newcomers

But who said anything about looking for a cure?

Good point.

I went to see a show last night and one of my favourite lines was, "I feel sorry for you people who don't drink. When you wake up in the morning, that's the best you're going to feel all day."

Addiction? What addiction?

PF and/or AIML extension:
Hello, I am not a newcomer, but I felt this was the best place to get input on this idea. I am currently thinking about programming a small application to allow rapid creation of either PF bots or AIML bots. I want for the person to be able to select the type of new information (person,place,thing) and it creates a 'funnel' or responses towards the right idea.

My question is this: When creating a bot, do persons,places, or things always have certain types of sentences associated with them? Or is each 'idea' different?

Each idea is different by nature, as persons, places and things are all totally different... You can't generalize like that

Hi newcomers welcome to the Personality Forge

what's up everybody

Okay, now I'm lost. Wanting to add more than 40 xnone responses, I thought I could just use a goto to some other keyphrase...such as goto znone1. But after setting it all up, it doesn't work. The goto works in normal keyphrases, but not in xnone. Any suggestions? How does everyone else set up more than 40 xnone responses?

Monel:

I'm afraid I didn't understand your question. What do you mean by a funnel? What do you mean by the right idea?

I think one could create a sort of template for certain types of responses for PF-bots. For example, the kind of responses which involve re-arranging the input. For example, you want to match on 'Do you want me to X', and give back, 'I don't care whether you X or not', but then it matches on 'Do you want me to X you' and produces 'I don't care whether you X you or not', which is of course not what you desire, so you change it. Then it matches on 'Do you want me to X my Y', and gives back 'I don't care whether you X my Y or not', so you revise it again, and after awhile you have a whole bunch of keyphrases which, taken together, do a pretty good job. Now suppose you want it to only respond that way if X is, let's say, a proper noun, but if X is a common noun you want it to respond, 'I would like you to X on Tuesday'. Well, the response is different, but you will have the same cluster of keyphrases. Is that the sort of thing you mean?

LapCat: I don't have a full solution to your problem, but it sounds like your bot needs to start relying on keyphrases, instead of on xnones. I'd work on other areas of the language center for a while, and hope that fewer xnones would get triggered.

Failing that, you could turn on gossip and use gossip-free xnone-like statements in all of the xgossip slots.

Also, you could set up useless low-ranked keyphrases like "(noun)" or "(verb)" or "I" and put xnone-like replies in there.

But I'd start building real keyphrases and responses instead if I were you.

Thanks, isaac. I've been putting in keyphrases left in right but, of course, it's never enough and there's always more that need entered. I guess it just bugs me to read the same thing in the transcripts so often for the xnones. You're right though. I'll just forget about that for now and concentrate on meat of the matter.

Irina:

Yes, that is exactly what I am talking about. Are there enough of those clusters to make a predicatable (and therefore programmable) model? Or are these clusters too varied from each other to produce a 'one size fits all' approach?