Windspren
Windspren
30 / 4
2nd Jul 2016
29th Sep 2016
The reborn SFPI! Our goal is to develop and identify forms of pseudointelligence and life within TPT in the forms of PSTN bots, computing systems, genome emulators, brain architecture simulations, and anything else we (or TPT AIs we find :D) can think of
sfpi tpte3

Comments

  • QuanTech
    QuanTech
    5th Jul 2016
    i'll work on engineering my first neural network in TPT! What basic function should i start with?
  • QuanTech
    QuanTech
    5th Jul 2016
    +MrSpudNugget we may consider that later. +Kevino36 Try and see if you can make more than two connections per neuron (that would help make more complex neural networks)
  • MrSpudNugget
    MrSpudNugget
    5th Jul 2016
    another thign to consider, neural pathway decay (the destruction of pathways that are used too infrequently)
  • MrSpudNugget
    MrSpudNugget
    5th Jul 2016
    hmmm... to be honest this is QuanTech's stuff...
  • Windspren
    Windspren
    5th Jul 2016
    What about these? I'm not very good with TPT computing systems, but one of you should be able to turn these into a brain. ID:2010250
  • MrSpudNugget
    MrSpudNugget
    5th Jul 2016
    +QuanTech, is there any way we can automate the system? using a filt code or something to tell it if it is too high, low or it is correct?
  • QuanTech
    QuanTech
    5th Jul 2016
    +Kevino36 we at least need to work with basic neurons before moving on to advanced ones! We haven't even tried the current basic ones in a neural network! My perceptron (although it is pretty big) has everything it needs to work in connection with many other perceptrons in a neural network!
  • QuanTech
    QuanTech
    5th Jul 2016
    +Kevino36 you deserved it after all!
  • Windspren
    Windspren
    5th Jul 2016
    Lol the replicator is still on FP.
  • QuanTech
    QuanTech
    5th Jul 2016
    +MrSpudNugget my idea is similar to that! I want the neural network (or brain) to perform, let's say, the AND operation. To emulate learning, we let the circuit output something random first, and then we tell it if it is correct, too low, or too high. The "brain" is then readjusted to better perform the logical AND operation. This way, we are "teaching" the brain how to do the AND operation!