Modelling biological evolvability: Implicit context and variation filtering in enzyme genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{lones::04,
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author = "Michael A. Lones and Andy M. Tyrrell",
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title = "Modelling biological evolvability: {I}mplicit context
and variation filtering in enzyme genetic programming",
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journal = "Bio{S}ystems",
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year = "2004",
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volume = "76",
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pages = "229--238",
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number = "1--3",
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month = aug # "--" # oct,
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keywords = "genetic algorithms, genetic programming, Evolvability,
Implicit context, Variation filtering",
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URL = "http://www-users.york.ac.uk/~mal503/common/papers/lones-ipcat2003.pdf",
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URL = "http://www.sciencedirect.com/science/article/B6T2K-4D09KY2-8/2/cf043c46f0d2f5a9997b5b62067c1f20",
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DOI = "doi:10.1016/j.biosystems.2004.05.015",
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abstract = "We describe recent insights into the role of implicit
context within the representations of evolving
artefacts and specifically within the program
representation used by enzyme genetic programming.
Implicit context occurs within self-organising systems
where a component's connectivity is both determined
implicitly by its own definition and is specified in
terms of the behavioural context of other components.
This paper argues that implicit context is an important
source of evolvability and presents experimental
evidence that supports this assertion. In particular,
it introduces the notion of variation filtering,
suggesting that the use of implicit context within
representations leads to meaningful variation filtering
whereby inappropriate change is ignored and meaningful
change is encouraged during evolution.",
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notes = "Papers presented at the Fifth International Workshop
on Information Processing in Cells and Tissues",
- }
Genetic Programming entries for
Michael A Lones
Andrew M Tyrrell
Citations