Search results

Thesis - Master (3)

  1. 181.
    Thesis - Master
    Mißfeldt, R.: Group formation and evolutionary games in nite populations. Master, Lübeck (2016)
  2. 182.
    Thesis - Master
    Schenk, H.: Host-parasite coevolution with mulitiple types. Master, 52 pp., Max-Planck-Institut für Evolutionsbiologie, Lübeck; Plön (2015)
  3. 183.
    Thesis - Master
    Hindersin, L.: Fixation times in graph-structured populations. Master, Universität zu Lübeck, Lübeck (2013)

Working Paper (9)

  1. 184.
    Working Paper
    Sieber, M.; Pita, L.; Weiland-Bräuer, N.; Dirksen, P.; Wang, J.; Mortzfeld, B.; Franzenburg, S.; Schmitz, R. A.; Baines, J. F.; Fraune, S. et al.; Hentschel, U.; Schulenburg, H.; Bosch, T. C. G.; Traulsen, A.: Neutrality in the metaorganism. bioRxiv (2019)
  2. 185.
    Working Paper
    Zhou, D.; Luo, Y.; Dingli, D.; Traulsen, A.: The invasion of de-differentiating cancer cells into hierarchical tissues. (2019) , 14 pp.
  3. 186.
    Working Paper
    Gao, Y.; Traulsen, A.; Pichugin, Y.: Interacting cells driving the evolution of multicellular life cycles. bioRxiv 533745, (2019)
  4. 187.
    Working Paper
    Schenk, H.; Schulenburg, H.; Traulsen, A.: Suicidal Red Queen: Population dynamics and genetic drift accelerate diversity loss. bioRxiv (2019) , 17 pp.
  5. 188.
    Working Paper
    Möller, M.; Hindersin, L.; Traulsen, A.: Exploring and mapping the universe of evolutionary graphs. arXiv (2018)
  6. 189.
    Working Paper
    Böttcher, M. A.; Werner, B.; Dingli, D.; Traulsen, A.: Replicative cellular age distributions in compartmentalised tissues. bioRxiv (2018)
  7. 190.
    Working Paper
    Park, H. J.; Pichugin, Y.; Huang, W.; Traulsen, A.: Stochastic population dynamics driven by mutant interactors. bioRxiv (2018)
  8. 191.
    Working Paper
    Pichugin, Y.; Traulsen, A.: Reproduction costs can drive the evolution of groups. bioRxiv (2018)
  9. 192.
    Working Paper
    Wu, B.; Bauer, B.; Galla, T.; Traulsen, A.: When do microscopic assumptions determine the outcome in evolutionary game dynamics? (2014)

Book Review (2)

  1. 193.
    Book Review
    Traulsen, A.: Biological models in game theory. (2016)
  2. 194.
    Book Review
    Traulsen, A.: From matter to self-organizing life. (2013)

Commentary (2)

  1. 195.
    Only the combination of mathematics and agent-based simulations can leverage the full potential of evolutionary modeling: Comment on “Evolutionary game theory using agent-based methods” by C. Adami, J. Schossau and A. Hintze (Physics of Life Reviews, 19). (2016)
  2. 196.
    Response to the editor: on the growth of hematopoietic stem cells and childhood leukemias (Stem Cells, 34). (2016)

Film (1)

  1. 197.
    Traulsen, A.: Interview: Wie wichtig ist Kooperation für das Überleben? (2014)
loading content
Go to Editor View