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[Dra_Gon]

I just had a thought and figured I'd share it here {yeah, I hear the groans already }...

In regards to AI {Artificial Intelligence}, I was wondering if a script could be made which would "learn" as it was used and add to itself what it learns.
To wit:
Original script is "A" {this could be pretty much whatever the script is made to do}.
>User>Run script {doing whatever it is the User does}
<Script<

1- Creates temporary script with current coding
2- Sees what User is doing
3- Checks for appropriate coding
4- Adds coding to the temporary script
5- Compiles temporary when User is done
6- Activates a script {we'll call it "Sleeping Pill.exe"} which would erase the Original and rename the temporary to the Original's name after the Original has exited.

So you start with "A", and after one session {in which the User has made his/her way to "E"}, the next time the Script is opened, it now "knows" that "A" goes to "E" by way of "BCD", and is ready to "learn" some more.

Well, it sounds good in my head. Perhaps this can give someone ideas about it and perhaps not. I just wanted to put it out there and see what comes up .

Ciao,
Dra'Gon
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[Jex]

hmm, that would be neat.

it would have great potential, but might also add unneeded lines to the script. And so might need a clean up once and a while. (<-- my 2 cents)
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[Dra_Gon]

True, perhaps the ability to "clean up it's own waste".
I would say that when it discovers codes which are the same as earlier "lessons" it would create functions and any time it comes across a similar pattern {which would fit the function} it would just make a reference to that function within the new script.
I'm sure there would be other necessary cleanings too. After all, the $4!t tends to pile up if it's not cleaned regularly .

Ciao,
Dra'Gon
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[[VxE]]

Regarding evolutionary systems, there are two general archetypes for getting from point A to point B.

(disclaimer: this is not intended to be a relogious/mystic commentary, just logic as I see it.)

Firstly, a 'top down' approach requires a system of high-order complexity and yields X systems of lower complexity. A script which rewrites itself in an attempt to become more complex would require a great deal of complexity to recognize what changes are needed and where to make those changes (some philosophies assert that it is impossible for a closed system to spontaneously generate a system more advanced than the original). "Intelligent Design" is a succinct illustration of this idea.

Secondly, a 'bottom up' approach requires only the most basic function: reproduce with alteration. You can start off with one script that makes slightly different copies of itself and tries to run them. Then whichever ones actually run are tested against some type of goal. The ones closest to that goal are then allowed to spawn more altered copies... etc.... "Genetic Evolution" is the appropriate illustration for this idea (and as for cleaning up junk code... well... most of the human genome is entirely unused...)

I suppose programmers are predisposed towards the first method, since it is their entire experience. The second method replaces a coder's genius with gajillions of megaFLOPs... but the finished product is not guaranteed.

Electronic circuits (and instruments) have been designed using evolutionary computer simulations... with some great successes.
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[infogulch]

Oops.. wasn't signed in.
I saw that article several years ago, thought I'd drop my 2 cents about it.
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[Dra_Gon]

That antennae does look like someone just slapped it together .

[VxE] --> I don't suppose there's anyway, to combine the 2 approaches? {I'm not sure how that would be accomplished in any event.}

A loooong time ago, I thought about a machine which would make a smaller machine - including the programming and smaller tools. This smaller machine would then build yet a smaller machine, and so on. Eventually it would get to the target size and the "alternate" programming would kick in and begin the job which required the tiny size.

I think of this AI in a similar situation - though in reverse. Start with the small size, something which gives it the ability to learn and grow, then it gets bigger.

In fact, along with our genome, most of what is in our brains is largely "unused". Everything we've seen/heard/felt/smelt/tasted/thought in our lives is still there - whether we were conscious of it or not - but we don't have much access to it, except maybe in cases of "intuition". So maybe if the AI program, instead of rewriting itself completely - as I suggested before - it simply writes a function to what it has just learned in a lower directory and adds to itself an "#include" {or something similar, like #getfunction} with the case in which this function would need to be used:

[Slanter]

I remember seeing something on TV a couple weeks about a guy that created a virtual world that had little "bugs" which would try and survive by finding food and propagating. Apparently with each new generation of them, they get more and more efficient at surviving and may have surpassed earth worms in intelligence . I just wish I could remember what the project was called so I could post a link to his website.

Just thought this was a good example of the "bottom-up" approach that [VxE] posted

EDIT: Just remembered another example of this using small robots. It basically had the same thing going, where the robots would learn about their environment and attempt to accomplish a goal, though apparently every once in a while they would get a suicidal one . Discovery channel ftw
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[[VxE]]

Spore
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[Dra_Gon]

[Slanter]

Okay, I was bored over the last couple of days and decided to try and write something like the bug program I mentioned. I did it in AU3 though because I wanted to use arrays .

Basically, the script creates a starting population of "bugs" with random "genes" such as speed and gender (the others aren't implemented yet) and they attempt to gather food and reproduce. The offspring have a chance to mutate a little, and they randomly receive "genes" from their parents. After 50 days they reach maturity, and the bugs die of old age after 500 days. They will also starve to death if they don't find enough food (average of about 1 food/33 days I think).

Anyways, this script seems to demonstrate at least a small amount of learning capability in that the bugs are getting more efficient at surviving. On my test run (which I have going right now) the bugs started out with a population that averaged 35-36, and now after almost 2000 days the population is sitting at 40-41. I know this isn't really anything that amazing, but it's a work in progress and I thought someone might find it interesting.

Here's the script:

[Jex]

umm, can't you use arrays in ahk?

any way, your bug simulation sounds neat.

i was thinking of starting a project to get an AI to draw a line around obstacles to connect 2 points(using paint).
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[Krogdor]

[Slanter]

I just updated the code with a gui. Colors of dots are as follows: Female bug is light red, Male bug is dark red/brown, Food is blue. This really shows how some of these bugs mutate, as you watch them shoot half way across the map in ~1/10 of a second, then promptly die as they run out of energy

Also a compiled version here for those of you who want to see it without gettin autoit.

Enjoy

*Note - I am aware that some of the bugs just end up sitting in one spot until they die. I don't know the why, but they seem to be suicidal
Edit: Figured this out, they just weren't updating their positions while in "mating mode"... stealth for the win?
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[Krogdor]