Abstract
We present the cellular programming approach, in which parallel cellular machines evolve to solve computational tasks, specifically demonstrating that high performance can be attained for the synchronization problem. We then described an FPGA-based implementation, demonstrating that ‘evolving ware’, evolware, can be attained; the implementation is facilitated by the cellular programming algorithm's local dynamics. The machine's only link to the outside world is an external power supply, thereby exhibiting online autonomous evolution.
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Goeke, M., Sipper, M., Mange, D., Stauffer, A., Sanchez, E., Tomassini, M. (1997). Online autonomous evolware. In: Higuchi, T., Iwata, M., Liu, W. (eds) Evolvable Systems: From Biology to Hardware. ICES 1996. Lecture Notes in Computer Science, vol 1259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63173-9_40
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DOI: https://doi.org/10.1007/3-540-63173-9_40
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