Skip to main content
SpringerLink
Log in
SpringerLink
Log in

K-Means Clustering as a Speciation Mechanism within an Individual-Based Evolving Predator-Prey Ecosystem Simulation

  • Conference paper
Active Media Technology (AMT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6335))

Included in the following conference series:

Abstract

We present a new method for modeling speciation within a previously created individual-based evolving predator-prey ecosystem simulation. As an alternative to the classical speciation mechanism originally implemented, k-means clustering provides a more realistic method for modeling speciation that, among other things, allows for the recreation of the species tree of life. This discussion introduces the k-means speciation, presents the improvements it provides, and compares the new mechanism versus the traditional method of speciation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Adami, C., Brown, C.T.: Evolutionary Learning in the 2D Artificial Life System ‘Avida’. Artificial Life, 377–381 (1994)

    Google Scholar 

  2. Coyne, J.A., Orr, H.A.: Speciation. Sinauer Associates Inc., Sunderland (2004)

    Google Scholar 

  3. Devaurs, D., Gras, R.: Species abundance patterns in an ecosystem simulation studied through Fisher’s logseries. Simulation Modelling Practice and Theory, 100–123 (2010)

    Google Scholar 

  4. Fisher, R.A., Corbet, A.S., Williams, C.B.: The relation between the number of species and the number of individuals in a random sample of an animal population. The J. of Animal Ecology, 42 – 58 (1943)

    Google Scholar 

  5. Gras, R., Devaurs, D., Wozniak, A., Aspinall, A.: An Individual-Based Evolving Predator-Prey Ecosystem Simulation Using a Fuzzy Cognitive Map as the Behavior Model. Artificial Life, 423 – 463 (2010)

    Google Scholar 

  6. Holland, J.H.: Hidden order: How adaptation builds complexity. Addison-Wesley, Reading (1995)

    Google Scholar 

  7. Hraber, P.T., Jones, T., Forrest, S.: The ecology of echo. Artificial Life, 165 – 190 (1995)

    Google Scholar 

  8. Kosko, B.: Fuzzy cognitive maps. International J. of Man-Machine Studies, 65 – 75 (1986)

    Google Scholar 

  9. Slatkin, M.: Isolation by Distance in Equilibrium and Non-Equilibrium Population. Evolution 54, 1606–1613 (2007)

    Google Scholar 

Download references

Authors
  1. Adam Aspinall
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Robin Gras
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, York University, M3J 1P3, Toronto, ON, Canada

    Aijun An

  2. Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, NS, Canada

    Pawan Lingras

  3. Faculty of Fine Arts, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Sheila Petty

  4. Faculty of Computer and Information Sciences, Hosei University, 3-7-2, Kajino-cho, Koganei-shi, 184-8584, Tokyo, Japan

    Runhe Huang

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Aspinall, A., Gras, R. (2010). K-Means Clustering as a Speciation Mechanism within an Individual-Based Evolving Predator-Prey Ecosystem Simulation. In: An, A., Lingras, P., Petty, S., Huang, R. (eds) Active Media Technology. AMT 2010. Lecture Notes in Computer Science, vol 6335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15470-6_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15470-6_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15469-0

  • Online ISBN: 978-3-642-15470-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation