Artificial Life and the Evolution of Distributed Processes

概要

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Life can be thought of as an information process, in which programs are the genomes of living organisms. Evolution is the process that created this genetic software embedded in wetware, and initial experiments demonstrate that evolution can operate effectively with machine code software embedded in hardware. This paper describes an approach for using the evolutionary process to generate complex parallel processes embedded in massively parallel or distributed computational systems. A new project will create a very large, complex and inter-connected region of cyberspace that will be inoculated with digital organisms which will be allowed to evolve freely through natural selection. The objective is to set off a digital analog to the Cambrian explosion of diversity, in which multi-cellular digital organisms (parallel MIMD processes) will spontaneously increase in diversity and complexity. If successful, this evolutionary process will allow us to find the natural form of parallel and distributed processes, and will generate extremely complex digital information processes that fully utilize the capacities inherent in our parallel and networked hardware.
社団法人人工知能学会の論文
1995-03-01