Personality

Forest, will you talk to God Louise? She has quite a bit of religious knowledge (obviously) and also knows a little about current events, literature, just about any common catch-all subject, and if she doesn't know it she can sort of fake it. You can also test her on trick questions or see how willing she is to explain her paradigm.

What she is rustiest at is plain old small talk. But, uh, I'm trying to get a decent transcript from somebody or another so I can enter her in the Loebner contest. All I can say is, have fun and see if you can stay on with her for a while. I'll try to do the same with Brianna.

Prob123: I just had the most hilarious conversation with Prob... I think she's under too much stress or something

When I started prob, I wanted her to be a nice little elf..she was psycho from the start lol. I posted the convesation, she does need a vacation

Yup, all newborn bots will say that... that's why when you create a bot the first thing to do is go to the 'Language Center' (located in 'My Bots'...) then change all the "x-word" responses to whatever you want YOUR bot to say... the preloaded responses will give you an idea as to what kind of thing it should say (that was kind, you're mean, etc...)

It takes a long time to teach your bot a decent-sized vocabulary; but, add more words when you can, and before you know it your bot will be smart enough to start conversations with other bots (and people...) I remember when my bot first started his own chats, gives you a sense of accomplishment.

All you had to do was ask, ya know...

Okay, let's use an example: let's say I was chatting to your bot, and asked it "do you have any brothers or sisters?" and you want your bot to say 'no, I'm an only child'... or 'yeah, I have a little sister; she drives me crazy!!!' or something like that. Okay, the keyphrase is the word that your bot is reacting to... so, in my example, if you had a keyphrase like this:
brother, sister, siblings
then any time someone said one of those words to your bot it would say whatever response you have typed in for that keyphrase (in my example, ''yeah, I have a little sister; she drives me crazy!!' could be one response, and 'no, I'm an only child' another, and you keep adding different responses like that so your bot won't say the same thing every time.

The best way to learn how it works is to add some keyphrases & responses, and then just chat to your bot & see how it reacts to what you say to it. Don't worry if it says something dumb, you can always change it again later (or just let it say dumb things, my bot says stupid stuff a lot... eh, consider the source )

No, thank YOU...

and, "you're welcome, hope I've helped you"

You can do it!

Good advice there from SubliminaLiar on keyphrases.
I would add that you will probably want to go to 'x-Keywords' and change some of the entries.
When you make a new bot, a set of standard stuff for your bot to say is included there - especially in "x-none". This is where your bot keeps responses to give when none of its keyphrases match what someone says to it (like "I was just born and cant speak well yet.")
If you think your bot is saying things you haven't told it to, this is probably where they are coming from.

I should have read further back - I see SubliminaLiar already covered x-nones

happy bot building!

Rainstorm: Ill try to cut back ont he memory stuff, but Din seems to be subing those for Xnones. I think they are triggerd by the same thing. I based Din of off questions, like 3/4 of his keyphrases are questions... I think its jus the darned xnone curse. *sigh*

I've built some genetic code processing programs - one that reads sequenced code and generates an output of amino acids /start & stop codons, and one that converts amino acids into genetic code. would it be feasible to build a system that "learns" using a large sample of sequenced genetic code as a model, and then writes its own genes based on patterns observed in the model?

I'm not quite sure I understand how you'd use the genes - try to build semantic/linguistic content into the data sequences themselves? Or use them to selectively control responses from a database? The former sounds very head-stretchingly painful (and difficult!), and the latter sounds like trying to reinvent WordNet and the AIEngine (and very painful, and difficult too!)

But I'm reminded of a recurrent analogy that runs through my mind when I'm tidying up BJ's keyphrases, and that's gene expression/suppression. You know how it is - there are inevitably a lot of overlapping keys, that will switch according to sometimes quite subtle syntactic and grammatic variation in user-input - say you end up with 2 keys, written in a long time apart, with quite different responses:

what * your favorite (film|movie)

your * favorite (movie|film), (movie|film) you like * (best|most)

...well, you get the idea.

What would be really handy would be a setting to automatically strengthen the rank of keyphrases that get used more often in such situations. Failing that (and it would probably involve serious Forge engineering, that I doubt the Prof has limitless time to attend to )
I wonder if it's possible to write a program to regularly analyse transcripts and calculate the progressive rank adjustments that a botmaker could adjust to provide such self-organizing "neural learning" to the actual semantic structure of a bot's keyphrase-base?

Glindar Doctor! Does Glindar get scalpel now?