Committees as artificial organisms – Evolution and adaptation

Roberto C. Alamino

Committees as artificial organisms – Evolution and adaptation

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Generalised committee machines are here proposed to model the interaction of the DNA of a simplified artificial organism with its environment and shown to induce a unique genotype-phenotype map. An application to organisms being subjected to a toxic environment is shown to allow for a generalised form of antagonistic pleiotropy. The same scenario is studied in order to show the difference in adaptation in the presence of a fitness cost given by a lower reproduction rate.

Original language	English
Title of host publication	ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Pages	31-36
Number of pages	6
ISBN (Electronic)	9782875870650
Publication status	Published - 26 Apr 2019
Event	27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019 - Bruges, Belgium Duration: 24 Apr 2019 → 26 Apr 2019

Conference

Conference	27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019
Country/Territory	Belgium
City	Bruges
Period	24/04/19 → 26/04/19

Cite this

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title = "Committees as artificial organisms – Evolution and adaptation",

abstract = "Generalised committee machines are here proposed to model the interaction of the DNA of a simplified artificial organism with its environment and shown to induce a unique genotype-phenotype map. An application to organisms being subjected to a toxic environment is shown to allow for a generalised form of antagonistic pleiotropy. The same scenario is studied in order to show the difference in adaptation in the presence of a fitness cost given by a lower reproduction rate.",

author = "Alamino, {Roberto C.}",

year = "2019",

month = apr,

day = "26",

language = "English",

pages = "31--36",

booktitle = "ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",

note = "27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

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T1 - Committees as artificial organisms – Evolution and adaptation

AU - Alamino, Roberto C.

PY - 2019/4/26

Y1 - 2019/4/26

N2 - Generalised committee machines are here proposed to model the interaction of the DNA of a simplified artificial organism with its environment and shown to induce a unique genotype-phenotype map. An application to organisms being subjected to a toxic environment is shown to allow for a generalised form of antagonistic pleiotropy. The same scenario is studied in order to show the difference in adaptation in the presence of a fitness cost given by a lower reproduction rate.

AB - Generalised committee machines are here proposed to model the interaction of the DNA of a simplified artificial organism with its environment and shown to induce a unique genotype-phenotype map. An application to organisms being subjected to a toxic environment is shown to allow for a generalised form of antagonistic pleiotropy. The same scenario is studied in order to show the difference in adaptation in the presence of a fitness cost given by a lower reproduction rate.

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M3 - Conference publication

SP - 31

EP - 36

BT - ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

T2 - 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019

Y2 - 24 April 2019 through 26 April 2019

ER -

Committees as artificial organisms – Evolution and adaptation

Abstract

Conference

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