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--- projects:g5:start [2014/11/30 21:12] – cse03085
+++ projects:g5:start [2014/12/01 05:20] (current) – cse03085
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 ==== Background ====
-Genetic algorithms are used by //Artificial Life// (A-Life) researchers and artists to generate surprising solutions to complex problems. Such an algorithm encodes possible solutions as genetic sequences, and simulates an evolutionary struggle where only the fittest solutions survive and reproduce. The way this fitness is defined—the //fitness function//—indirectly determines which solutions prevail.
+Genetic algorithms are used by //Artificial Life// (A-Life) researchers and artists to generate surprising solutions to complex problems. Such an algorithm encodes possible solutions as sequences of genetic information called //genomes//, and simulates an evolutionary struggle where only the fittest solutions survive and reproduce. How this fitness is defined—the //fitness function//—will determine which solutions prevail.
 A-Life algorithms are typically designed to be very fast: millions of generations can be created and testing in mere seconds. In contrast, //Evolving Mirrors// is slow enough that participants can see new transformations be generated in real-time.
+=== Figure 1 - System Overview ===
+The artwork exists as a network of ‘mirrors’, each consisting of a camera, a computer, and a monitor. The camera’s video feed is used as input for the mirror’s image transformation as well as for tracking participant interaction. The computer transforms the source video based on the mirror’s genome, and displays it back to the participant via the monitor.
+{{:projects:g5:figure1-small.png|Illustration of the artwork's system overview}}
 ==== Prototypes ====