"Dario Floreano and Laurent Keller report in PLoS ONE how their robots were able to rapidly evolve complex behaviors such as collision-free movement, homing, predator versus prey strategies, cooperation, and even altruism. A hundred generations of selection controlled by a simple neural network were sufficient to allow robots to evolve these behaviors. Their robots initially exhibited completely uncoordinated behavior, but as they evolved, the robots were able to orientate, escape predators, and even cooperate. The authors point out that this confirms a proposal by Alan Turing who suggested in the 1950s that building machines capable of adaptation and learning would be too difficult for a human designer and could instead be done using an evolutionary process. The robots aren't yet ready to compete in Robot Wars, but they're still pretty impressive.", in slashdot.
E retirado do popsci:
"For the first experiment, the scientists created two sets of bots: predator bots with better eyesight, and prey bots with more speed. Initially, the predator was only programmed to find the prey and then drive towards it, while the prey was only programmed to move away when it detected the predator. At first, the robots just bounced towards and away from each other randomly. But over 125 generations, the hunter-bots learned to approach the prey from blind spots and to hide against the walls in wait, while the prey-bots learned to stay away from the walls and retreat with its sensors facing the hunter-bots, so it could keep the danger in sight."
Muito interessante MESMO! ;o)
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