Having trouble discovering extraterrestrial life? Then you might consider evolving your own.

In October, a small team of Silicon Valley researchers plans to turn software originally designed to search for evidence of extraterrestrial life to the task of looking for evidence of artificial life generated on a cluster of high-performance computers.

The effort, dubbed the EvoGrid, is the brainchild and doctoral dissertation topic of Bruce Damer, a Silicon Valley computer scientist who develops simulation software for NASA at a company, Digital Space, based in Santa Cruz, Calif.

Mr. Damer and his chief engineer, Peter Newman, are modeling their effort after the SETI@Home project, which was started by the Search for Extraterrestrial Intelligence, or SETI, program to make use of hundreds of thousands of Internet-connected computers in homes and offices. The project turned these small computers into a vast supercomputer by using pattern recognition software on individual computers to sift through a vast amount of data to look for evidence of faint signals from civilizations elsewhere in the cosmos.

The EvoGrid goal is to detect evidence of self-organizing behavior in computerized simulations that have been constructed to model the first emergence of life in the physical world. Pattern recognition software on home computers would seem a perfect tool.