Real life: Cellular automaton for investigating competition between pleiotrophy and redundancy
Date
2001
Authors
Hoo, T.
Ting, A.
O'Neill, E.
Allison, A.
Abbott, D.
Editors
Bergmann, N.W.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Electronics and structures for MEMS II : 17-19 December, 2001, Adelaide, Australia / Neil W. Bergmann (ed.), pp. 380-390
Statement of Responsibility
Teck L. Hoo, Andrew Ting, Erin O'Neill, Andrew G. Allison, and Derek Abbott
Conference Name
Electronics and Structures for MEMS II (2nd : 2001 : Adelaide, Australia)
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.
School/Discipline
Dissertation Note
Provenance
Description
© 2003 COPYRIGHT SPIE--The International Society for Optical Engineering