Evolutionary branching in multi-level selection models

被引:0
|
作者
Simon, Burton [1 ]
Ispolatov, Yaroslav [2 ]
Doebeli, Michael [3 ,4 ]
机构
[1] Univ Colorado Denver, Dept Math & Stat Sci, Denver, CO 80204 USA
[2] Univ Santiago Chile, Ctr Interdisciplinary Res Astrophys & Space Sci, Dept Phys, Santiago, Chile
[3] Univ British Columbia, Dept Zool, Vancouver, BC, Canada
[4] Univ British Columbia, Dept Math, Vancouver, BC, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Adaptive dynamics; Continuous snowdrift game; Group selection; PREDATION; FRAMEWORK; ORIGIN;
D O I
10.1007/s00285-024-02145-1
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We study a model of group-structured populations featuring individual-level birth and death events, and group-level fission and extinction events. Individuals play games within their groups, while groups play games against other groups. Payoffs from individual-level games affect birth rates of individuals, and payoffs from group-level games affect group extinction rates. We focus on the evolutionary dynamics of continuous traits with particular emphasis on the phenomenon of evolutionary diversification. Specifically, we consider two-level processes in which individuals and groups play continuous snowdrift or prisoner's dilemma games. Individual game strategies evolve due to selection pressure from both the individual and group level interactions. The resulting evolutionary dynamics turns out to be very complex, including branching and type-diversification at one level or the other. We observe that a weaker selection pressure at the individual level results in more adaptable groups and sometimes group-level branching. Stronger individual-level selection leads to more effective adaptation within each group while preventing the groups from adapting according to the group-level games.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Group Selection vs Multi-Level Selection: Some Example Models Using Evolutionary Games
    Chu, Dominique
    Barnes, David J.
    2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5, 2009, : 808 - 814
  • [2] Hamilton's rule in multi-level selection models
    Simon, Burton
    Fletcher, Jeffrey A.
    Doebeli, Michael
    JOURNAL OF THEORETICAL BIOLOGY, 2012, 299 : 55 - 63
  • [3] Evolutionary perspectives on folk illness: A multi-level selection model.
    Sheridan, KE
    AMERICAN JOURNAL OF HUMAN BIOLOGY, 2004, 16 (02) : 224 - 224
  • [4] Evolutionary variational inequalities and applications to complex dynamic multi-level models
    Daniele, Patrizia
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (06) : 855 - 880
  • [5] Refactoring Multi-Level Models
    De Lara, Juan
    Guerra, Esther
    ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 2018, 27 (04)
  • [6] MULTI-LEVEL SELECTION The perils of cheating
    Camus, M. Florencia
    ELIFE, 2020, 9
  • [7] Evolutionary multi-level acyclic graph partitioning
    Orlando Moreira
    Merten Popp
    Christian Schulz
    Journal of Heuristics, 2020, 26 : 771 - 799
  • [8] A multi-level cultural evolutionary framework for sustainability
    Kline, Michelle A.
    AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 2020, 171 : 145 - 145
  • [9] Evolutionary Multi-Level Acyclic Graph Partitioning
    Moreira, Orlando
    Popp, Merten
    Schulz, Christian
    GECCO'18: PROCEEDINGS OF THE 2018 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2018, : 332 - 339
  • [10] CelloS: A multi-level approach to evolutionary dynamics
    Attolini, CSO
    Stadler, PF
    Flamm, C
    ADVANCES IN ARTIFICAL LIFE, PROCEEDINGS, 2005, 3630 : 500 - 509