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Although individual ants have an extremely basic intelligence, and are completely incapable of surviving on their own, colonies of ants can develop remarkably sophisticated and biologically successful behavior. This paper discusses a set of experiments which attempt to simulate one of these behaviors, namely the ability of ants to place pheromones as a way of communication. These experiments involved a variety of different environments, and tested two varieties of the genetic algorithm NEAT: the standard offline version, and its online counterpart rtNEAT. Since the experimental environment did not seem to offer any benefit to continuous learning, we had expected NEAT and rtNEAT to have roughly similar learning curves. However, our results directly contradict this hypothesis, showing much more succesful learning with rtNEAT than with standard NEAT.
This is my CV as a student
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Neural Networks for Engineering Students Read the top first. Elon Musk thinks this is more dangerous than nukes. Show a little respect, but don't be afraid.
This study aims to analyze what altmetric factors affect the success of a Kickstarter campaign. This project was created by two high school students for the Big Data Challenge.
In this experiment I looked into a way fo measuring the ground bounce generated by capacitively loading 5 outputs of a Texas Instrument small outline package Hex-Flip Flop chip and discharging them all simultaneously.
¿Como Funciona el LaTeX?
Leandro Aurélio's CV
Laboratory where LEX is compared to C
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