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Proceedings Paper

Real life: cellular automaton for investigating competition between pleiotropy and redundancy
Author(s): Teck Lee Hoo; Andrew Ting; Erin O'Neill; Andrew G. Allison; Derek Abbott
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Paper 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.

Paper Details

Date Published: 21 November 2001
PDF: 11 pages
Proc. SPIE 4591, Electronics and Structures for MEMS II, (21 November 2001); doi: 10.1117/12.449170
Show Author Affiliations
Teck Lee Hoo, Adelaide Unv. (Australia)
Andrew Ting, Adelaide Univ. (Australia)
Erin O'Neill, Australian National Univ. (Australia)
Andrew G. Allison, Adelaide Univ. (Australia)
Derek Abbott, Adelaide Univ. (Australia)

Published in SPIE Proceedings Vol. 4591:
Electronics and Structures for MEMS II
Neil W. Bergmann; Derek Abbott; Alex Hariz; Vijay K. Varadan, Editor(s)

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