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21 November 2001 Real life: cellular automaton for investigating competition between pleiotropy and redundancy
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Abstract
Redundancy is where multiple agents perform one task. On the other hand, pleiotropy is the inverse of redundancy- that is, where one agent multitasks. In real systems it is usual to find a mixture of both pleiotropic and redundant agents. In engineered systems we may see this in communication networks, computer systems, smart structures, nano-self-assembled systems etc. In biological systems, we can also observe the interplay of pleiotropy and redundancy from neural networks through to DNA coding. The open question is how to design a given complex system with the correct trade-off between redundancy and pleiotropy, in order to confer maximum robustness for lowest cost. Here we propose an evolutionary computational approach for exploring this trade-off in a toy model cellular automation, dubbed Real Life.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Teck Lee Hoo, Andrew Ting, Erin O'Neill, Andrew G. Allison, and Derek Abbott "Real life: cellular automaton for investigating competition between pleiotropy and redundancy", Proc. SPIE 4591, Electronics and Structures for MEMS II, (21 November 2001); https://doi.org/10.1117/12.449170
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