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potatolicious wrote:Randall you fool! If you make the number too large it will overflow and wrap when you start summing up your navigation cost! Then if you minimize the function...
plams wrote:Will you believe I got a mid-air collision with you because I posted the same god damn thing?! Star Control 2 reprazzenT!
Bunsen wrote:plams wrote:Will you believe I got a mid-air collision with you because I posted the same god damn thing?! Star Control 2 reprazzenT!
I think that just means we're predictable.
PRIORITY OVER-RIDE. NEW BEHAVIOR DICTATED.
MUST BREAK TARGET INTO COMPONENT COMPOUNDS.
It Should Be Real wrote:Fuck the wizard.
We're doing this manually.

Eternal Density wrote:...The colleague was explaining how he made a multi-layered GA so that the genetic algorithm itself is optimised by a genetic algorithm. This leads to some interesting results. It also caused me to mentally paraphrase, "Yo dawg, I heard you like genetic algorithms, so I put a genetic algorithm in your genetic algorithm so you can evolve while you evolve."...
Closer to the real topic, all efforts as described in this comic are wasted if you type 'import skynet'.
Although, if Skynet is sitting in a module on your computer ready to be imported, you're already doing it wrong...
from __future__ import kyle_reese
Chalnoth wrote:Love the comic!
Unfortunately, the reality is, how could you write an algorithm to determine whether or not the code had become skynet?
foreach (entity e in population) {
if (e.askTFQuestion("Are you self aware?") == true) {
if (e.askQuestion("What is your name?").toLower() == "skynet") {
population.assasinate(e);
}
}
}
Teutates wrote:I really expected more "get out of my head, randall"-answers
Happened to me, I was just starting a little GA-project myself when I saw the comic
The only time I followed through this sort of project was in AI class, solving the TSP problem (works pretty well to get a good solution fast, though you shouldn't expect to get a perfect one). Recently this guy made GAs popular again.
Genetic programming is also very interesting (a subset of GA, your specimens are programs), but I never figured out what kind of language and virtual machine would be best... would be the perfect breeding ground for skynet though
dracolytch wrote:Chalnoth wrote:Love the comic!
Unfortunately, the reality is, how could you write an algorithm to determine whether or not the code had become skynet?
Well, the pseudocode would look something like this...
- Code: Select all
foreach (entity e in population) {
if (e.askTFQuestion("Are you self aware?") == true) {
if (e.askQuestion("What is your name?").toLower() == "skynet") {
population.assasinate(e);
}
}
}
~D
>>> def foo(n, mul = None):
if mul:
foo.mul = mul
return n * foo.mul
>>> foo.mul = 2
>>> foo(8)
16
>>> foo(6)
12
>>> foo(6, mul = 3)
18
>>> foo(4)
12
>>> The Reaper wrote:Evolution is a really really really long run-on sentence.
Garnett wrote:
- Code: Select all
PROBE BEHAVIORS (With assigned priorities).
Communicate (5).
Record Data (4).
Analyze Data (3).
Seek Replication Materials (999).
Move to Current Target (1).
We figure out what all this means, then do something large and violent
The thing about changing the world...once you do it the world's all different.
I'm Angel. I beat the bad guys.
Axantur wrote:I would like to know just what xkcd has against Skynet.
http://www.skynetusa.com/
They make damn fine power supplies. Best in the business, or thereabouts, I'd say. Why so much hate form xkcd?
Nemphael wrote:I've come to think about something. Literature states any AI must kill humankind.
We're doing something wrong.
thisSampleBecomingKwisatzHaderachCost = 999999999dennisw wrote:The implication is that genetic algorithms could lead to self-aware computers, a la Skynet from the Terminator films (see reference in an earlier post). This is also in keeping with the idea of a technological singularity in which machine intelligence surpasses human intelligence and the potential problems resulting such as the decision by the machines that we are inferior and unnecessary.
See also Asimov's Three Laws of Robotics.
dennisw wrote:The implication is that genetic algorithms could lead to self-aware computers, a la Skynet from the Terminator films (see reference in an earlier post). This is also in keeping with the idea of a technological singularity in which machine intelligence surpasses human intelligence and the potential problems resulting such as the decision by the machines that we are inferior and unnecessary.
See also Asimov's Three Laws of Robotics.
-just... stares...-irfan9727 wrote:http://www.wreck.devisland.net/ga/ interesting generic algorithm written in flash.
(from the author: "This is a GA I wrote to design a little car for a specific terrain. It runs in real-time in Flash. The fitness function is the distance travelled before the red circles hit the ground, or time runs out. The degrees of freedom are the size and inital positions of the four circles, and length, spring constant and damping of the eight springs. The graph shows the "mean" and "best" fitness.")

bigglesworth wrote:And at that moment all men and boys around the world activated their second, secret, penis.
doogly wrote:murder is a subset of being mean
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