The EvoGrid is a project that seeks to harness a network of small computers to analyze data using pattern recognition software as part of a research effort looking for indications of artificial life generated by a cluster of high-performance computing systems. The purpose of EvoGrid is to recognize evidence of self-organizing behavior in computerized simulations that have been built to model the first emergence of life on Earth. EvoGrid was conceived by computer scientist Bruce Damer, who believes the coupling of powerful computers to potentially tens or even hundreds of thousands of PC-based data analyzers could facilitate the detection of emergent behavior. “The main challenge is not the generation of some kind of novel molecular interaction,” he says. “Rather, it’s the analysis and trying to see what’s going on.” EvoGrid relies on a pair of open source software projects, one of which is Gromacs, which simulates digital evolution through modeling of molecular interactions. The other software project is the U.S. National Science Foundation-funded Boinc, which uses the Internet to allow scientists to leverage free computing cycles available on network-connected computers.
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Tags: Computers
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