Evolvability of natural and artificial systems

Chrisantha Fernando, George Kampis, E. Szathmáry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Evolvability in its simplest form is the ability of a population to respond to directional selection. More interestingly it means that some lineages show open-ended evolution by accumulating novel adaptations, and that some lineages complexity can increase indefinitely. Unlimited heredity is a precondition for such rich open-endedness, another one seems to be (analogous to) chemical combinatorics. The richness of matter seems to be a source of challenges and opportunities not yet matched in artificial algorithms. However, some "artificial" systems can be more evolvable than natural ones because for the former the whole population is not under the constraint to survive in the wild. A form of artificial selection may happen even in the brain of replicable patterns that yield complex adaptations within the lifetime of the individual.

Original languageEnglish
Title of host publicationProcedia Computer Science
Pages73-76
Number of pages4
Volume7
DOIs
Publication statusPublished - 2011
Event2nd European Future Technologies Conference and Exhibition 2011, FET 11 - Budapest, Hungary
Duration: May 4 2011May 6 2011

Other

Other2nd European Future Technologies Conference and Exhibition 2011, FET 11
CountryHungary
CityBudapest
Period5/4/115/6/11

Fingerprint

Brain

Keywords

  • Artificial selection
  • Chemistry
  • Complexity
  • Evolvability
  • Mind
  • Natural selection
  • Open-ended evolution

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Fernando, C., Kampis, G., & Szathmáry, E. (2011). Evolvability of natural and artificial systems. In Procedia Computer Science (Vol. 7, pp. 73-76) https://doi.org/10.1016/j.procs.2011.12.023

Evolvability of natural and artificial systems. / Fernando, Chrisantha; Kampis, George; Szathmáry, E.

Procedia Computer Science. Vol. 7 2011. p. 73-76.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fernando, C, Kampis, G & Szathmáry, E 2011, Evolvability of natural and artificial systems. in Procedia Computer Science. vol. 7, pp. 73-76, 2nd European Future Technologies Conference and Exhibition 2011, FET 11, Budapest, Hungary, 5/4/11. https://doi.org/10.1016/j.procs.2011.12.023
Fernando C, Kampis G, Szathmáry E. Evolvability of natural and artificial systems. In Procedia Computer Science. Vol. 7. 2011. p. 73-76 https://doi.org/10.1016/j.procs.2011.12.023
Fernando, Chrisantha ; Kampis, George ; Szathmáry, E. / Evolvability of natural and artificial systems. Procedia Computer Science. Vol. 7 2011. pp. 73-76
@inproceedings{84ea542562614231be54e6977a107235,
title = "Evolvability of natural and artificial systems",
abstract = "Evolvability in its simplest form is the ability of a population to respond to directional selection. More interestingly it means that some lineages show open-ended evolution by accumulating novel adaptations, and that some lineages complexity can increase indefinitely. Unlimited heredity is a precondition for such rich open-endedness, another one seems to be (analogous to) chemical combinatorics. The richness of matter seems to be a source of challenges and opportunities not yet matched in artificial algorithms. However, some {"}artificial{"} systems can be more evolvable than natural ones because for the former the whole population is not under the constraint to survive in the wild. A form of artificial selection may happen even in the brain of replicable patterns that yield complex adaptations within the lifetime of the individual.",
keywords = "Artificial selection, Chemistry, Complexity, Evolvability, Mind, Natural selection, Open-ended evolution",
author = "Chrisantha Fernando and George Kampis and E. Szathm{\'a}ry",
year = "2011",
doi = "10.1016/j.procs.2011.12.023",
language = "English",
volume = "7",
pages = "73--76",
booktitle = "Procedia Computer Science",

}

TY - GEN

T1 - Evolvability of natural and artificial systems

AU - Fernando, Chrisantha

AU - Kampis, George

AU - Szathmáry, E.

PY - 2011

Y1 - 2011

N2 - Evolvability in its simplest form is the ability of a population to respond to directional selection. More interestingly it means that some lineages show open-ended evolution by accumulating novel adaptations, and that some lineages complexity can increase indefinitely. Unlimited heredity is a precondition for such rich open-endedness, another one seems to be (analogous to) chemical combinatorics. The richness of matter seems to be a source of challenges and opportunities not yet matched in artificial algorithms. However, some "artificial" systems can be more evolvable than natural ones because for the former the whole population is not under the constraint to survive in the wild. A form of artificial selection may happen even in the brain of replicable patterns that yield complex adaptations within the lifetime of the individual.

AB - Evolvability in its simplest form is the ability of a population to respond to directional selection. More interestingly it means that some lineages show open-ended evolution by accumulating novel adaptations, and that some lineages complexity can increase indefinitely. Unlimited heredity is a precondition for such rich open-endedness, another one seems to be (analogous to) chemical combinatorics. The richness of matter seems to be a source of challenges and opportunities not yet matched in artificial algorithms. However, some "artificial" systems can be more evolvable than natural ones because for the former the whole population is not under the constraint to survive in the wild. A form of artificial selection may happen even in the brain of replicable patterns that yield complex adaptations within the lifetime of the individual.

KW - Artificial selection

KW - Chemistry

KW - Complexity

KW - Evolvability

KW - Mind

KW - Natural selection

KW - Open-ended evolution

UR - http://www.scopus.com/inward/record.url?scp=84856443537&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84856443537&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2011.12.023

DO - 10.1016/j.procs.2011.12.023

M3 - Conference contribution

VL - 7

SP - 73

EP - 76

BT - Procedia Computer Science

ER -