uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The artificial ecosystem: number soup (part II)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.ORCID iD: 0000-0003-2640-6490
(English)Manuscript (preprint) (Other academic)
Abstract [en]

This paper is a follow-up work about the artificial ecosystem model:number soup (Liu and Sumpter, J. Royal Soc. Interface, 2017). Itelaborates more details about this model and points out future directions.

Keywords [en]
Artificial ecosystem, Species loop, Gillespie algorithm, Cooperators and cheaters, Artificial chemistry
National Category
Ecology Other Mathematics Other Biological Topics
Identifiers
URN: urn:nbn:se:uu:diva-339595OAI: oai:DiVA.org:uu-339595DiVA, id: diva2:1176224
Funder
EU, European Research CouncilAvailable from: 2018-01-21 Created: 2018-01-21 Last updated: 2018-01-23
In thesis
1. Modelling Evolution: From non-life, to life, to a variety of life
Open this publication in new window or tab >>Modelling Evolution: From non-life, to life, to a variety of life
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Life is able to replicate itself, e.g., a microorganism is able to divide into two identical ones, and a single plant is able to forest a whole island. But life is the only example of self-replication (note that a computer virus seems able to replicate itself, but it needs the assistance of a processor such as a CPU, and thus not a truly self-replicating entity). So before the appearance of life, nothing can self-replicate. How does life, a truly self-replicating entity, evolve from substances which is not able to self-replicate? Why can it ever happen? Is there a general underlying mechanism that governs how self-replicating entities can develop de novo on Earth, or even other plants?

As long as the first life appears, it has the potential to cover the whole plant. But one single life form cannot do the job. Life has branched into a huge number of biological classes and species. Different species interact with each other, and with their environment, which, as a whole, is defined as an ecosystem. Distinct ecosystems are found at different scales and different places, e.g., microbes cross-feed and compete for resources within natural communities; and different types of cells interact by exchanging metabolite within an organism body. But, why sometimes we consider an ecosystem as an individual (such as the human body which is, in fact, an ecosystem inhabited by a huge number of microorganisms without which we cannot survive) while sometimes not? What really distinguishes an individual-level life from a system-level life? Are there general properties only a system-level life has, emerged from the interactions among its compositional individual-level life?

This thesis is to investigate these two questions by mathematical models. For the evolution from non-life to life, namely the origin of life, we build an artificial chemistry model to investigate why an independent self-replicating entity can develop spontaneously from some chemical reaction system in which no reaction is self-replicating. For the evolution from life to a variety of life, we build an artificial ecosystem model to investigate general properties of ecosystems.

Place, publisher, year, edition, pages
Uppsala: Department of Mathematics, 2018. p. 59
Series
Uppsala Dissertations in Mathematics, ISSN 1401-2049 ; 106
Keywords
Mathematical biology, Biocomplexity, Artificial chemistry, Ecosystem evolution, Origin of life, Self-replication, Prebiotic evolution, Collectively-catalytic, Golden ratio
National Category
Other Mathematics Other Biological Topics Other Chemistry Topics
Research subject
Applied Mathematics and Statistics
Identifiers
urn:nbn:se:uu:diva-339596 (URN)978-91-506-2683-4 (ISBN)
Public defence
2018-03-16, Häggsalen, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 09:15 (English)
Opponent
Supervisors
Note

Fel ISBN, serie och serienummer i tryckt bok / Wrong ISBN, series and series number in the printed book.

Available from: 2018-02-20 Created: 2018-01-23 Last updated: 2018-03-19

Open Access in DiVA

No full text in DiVA

Other links

https://arxiv.org/abs/1801.04916

Authority records BETA

Liu, Yu

Search in DiVA

By author/editor
Liu, Yu
By organisation
Applied Mathematics and Statistics
EcologyOther MathematicsOther Biological Topics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf