Molecular implementation of computational components

Gerald G. Owenson; Martyn Amos; David A. Hodgson; Alan Gibbons

doi:10.1109/CEC.1999.782527

Molecular implementation of computational components

Gerald G. Owenson, Martyn Amos, David A. Hodgson, Alan Gibbons

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Complex natural processes may often be expressed in terms of networks of computational components, such as Boolean logic gates or artificial neurons. The interaction of biological molecules and the flow of information controlling the development and behaviour of organisms is particularly amenable to this approach, and these models are well established in the biological community. However, only relatively recently have papers appeared proposing the use of such systems to perform useful, human-defined tasks. Rather than merely using the network analogy as a convenient technique for clarifying our understanding of complex systems, it may now be possible to harness the power of such systems for the purposes of computation. We review several such proposals, focusing on the molecular implementation of fundamental computational elements.

Original language	English
Title of host publication	Proceedings of the 1999 Congress on Evolutionary Computation-CEC99
Publisher	IEEE
Pages	967-971
Number of pages	5
ISBN (Print)	0-7803-5536-9
DOIs	https://doi.org/10.1109/CEC.1999.782527
Publication status	Published - 6 Aug 2002
Externally published	Yes
Event	1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States Duration: 6 Jul 1999 → 9 Jul 1999

Conference

Conference	1999 Congress on Evolutionary Computation, CEC 1999
Country/Territory	United States
City	Washington, DC
Period	6/07/99 → 9/07/99

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10.1109/CEC.1999.782527

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@inproceedings{9f49a67fa0fc417f9107c9280a4eaa29,

title = "Molecular implementation of computational components",

abstract = "Complex natural processes may often be expressed in terms of networks of computational components, such as Boolean logic gates or artificial neurons. The interaction of biological molecules and the flow of information controlling the development and behaviour of organisms is particularly amenable to this approach, and these models are well established in the biological community. However, only relatively recently have papers appeared proposing the use of such systems to perform useful, human-defined tasks. Rather than merely using the network analogy as a convenient technique for clarifying our understanding of complex systems, it may now be possible to harness the power of such systems for the purposes of computation. We review several such proposals, focusing on the molecular implementation of fundamental computational elements.",

author = "Owenson, {Gerald G.} and Martyn Amos and Hodgson, {David A.} and Alan Gibbons",

year = "2002",

month = aug,

day = "6",

doi = "10.1109/CEC.1999.782527",

language = "English",

isbn = "0-7803-5536-9",

pages = "967--971",

booktitle = "Proceedings of the 1999 Congress on Evolutionary Computation-CEC99",

publisher = "IEEE",

address = "United States",

note = "1999 Congress on Evolutionary Computation, CEC 1999 ; Conference date: 06-07-1999 Through 09-07-1999",

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TY - GEN

T1 - Molecular implementation of computational components

AU - Owenson, Gerald G.

AU - Amos, Martyn

AU - Hodgson, David A.

AU - Gibbons, Alan

PY - 2002/8/6

Y1 - 2002/8/6

N2 - Complex natural processes may often be expressed in terms of networks of computational components, such as Boolean logic gates or artificial neurons. The interaction of biological molecules and the flow of information controlling the development and behaviour of organisms is particularly amenable to this approach, and these models are well established in the biological community. However, only relatively recently have papers appeared proposing the use of such systems to perform useful, human-defined tasks. Rather than merely using the network analogy as a convenient technique for clarifying our understanding of complex systems, it may now be possible to harness the power of such systems for the purposes of computation. We review several such proposals, focusing on the molecular implementation of fundamental computational elements.

AB - Complex natural processes may often be expressed in terms of networks of computational components, such as Boolean logic gates or artificial neurons. The interaction of biological molecules and the flow of information controlling the development and behaviour of organisms is particularly amenable to this approach, and these models are well established in the biological community. However, only relatively recently have papers appeared proposing the use of such systems to perform useful, human-defined tasks. Rather than merely using the network analogy as a convenient technique for clarifying our understanding of complex systems, it may now be possible to harness the power of such systems for the purposes of computation. We review several such proposals, focusing on the molecular implementation of fundamental computational elements.

U2 - 10.1109/CEC.1999.782527

DO - 10.1109/CEC.1999.782527

M3 - Conference contribution

AN - SCOPUS:11144291117

SN - 0-7803-5536-9

SP - 967

EP - 971

BT - Proceedings of the 1999 Congress on Evolutionary Computation-CEC99

PB - IEEE

T2 - 1999 Congress on Evolutionary Computation, CEC 1999

Y2 - 6 July 1999 through 9 July 1999

ER -

Molecular implementation of computational components

Abstract

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