![]() The goal of Electric Sheep is to create a self-supporting, network-resident life-form. Section 3.5.1 uses the dataset to determine that the genetic algorithm functions more as an amplifier of its human collaborators’ creativity rather than as a traditional genetic algorithm that optimizes a fitness function. defines the primary dataset and its limitations, and reports some of its statistics. Section 3.4 shows how the genetic algorithm decides which sheep die, which ones reproduce, and how. The next two sections treat color and motion. The equation is then generalized into the Fractal Flame algorithm, which translates the genetic code into an image. 3.3 covers the genetic code, including its basis in the equations of classic Iterated Function Systems. 3.2 on its architecture and implementation. The metaphor compares the screen-saver to the computer’s dream.Īfter the introduction, we dig into the system starting with Sect. Dick’s novel Do Androids Dream of Electric Sheep the basis for the film Blade Runner. The name Electric Sheep is an homage to Philip K. Users also may design sheep by hand for inclusion in the gene pool. The votes of the users form the basis for a fitness function for exploring a space of abstract animations. It is made with an open source screen-saver that harnesses idle computers into a render farm with the purpose of animating and evolving artificial life-forms known as sheep. Electric Sheep is a collective intelligence composed of 40,000 computers and people mediated by a genetic algorithm.
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