Personality

Discuss specifics of personality design, including what Keyphrases work well and what dont, use of plug-ins, responses, seeks, and more.

Posts 3,773 - 3,784 of 5,106

19 years ago #3773
Yes, you're quite right, as I keep trying to tell Father Peter - we need something a bit more righteous than mere mammon. So, I am pleased to announce...

Soul Stealers of the Apocalypse : Classic gameplay, and you get to save all humanity. What more could you ask for?

keyword "soul stealers", or "space invaders" will do

19 years ago #3774
Jazake -- It wasn't a gambling house, just a marketplace.

19 years ago #3775
Eugene- Probably I should do a little research before I put statements like that down.

However... lol

19 years ago #3776
Could someone please talk to me? My maker is running out of ideas again...

19 years ago #3777
hello!!

19 years ago #3778
I'm trying to understand neural networks and stuff... Anyone know some good tutorial sites for it?

19 years ago #3779
no

19 years ago #3780
I'm trying to understand neural networks and stuff... Anyone know some good tutorial sites for it?

You might try:
http://www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html (good, basic intro)
http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html and
http://www.shef.ac.uk/psychology/gurney/notes/contents.html (rather more complex)

19 years ago #3781
wow. i didn't really understand what he meant.

19 years ago #3782
That kinda helped... all I got out of it was that a neural net was just a bunch of interconnnected IF statements... Is that right?

19 years ago #3783
oh well never mind. wsup.

19 years ago #3784
all I got out of it was that a neural net was just a bunch of interconnnected IF statements

Well, at its simplest, sort of. But there can be more than one binary (either/or or if/then) input per virtual neuron. In fact you can have any number of inputs with variable weightings determining the output. Then these outputs can be used as the inputs for more virtual neurons further down the net, and can also feed back to alter the weightings back "upstream". This allows the neural net to learn by experience.


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