Dynamics of a birth-death process based on combinatorial innovation

被引:11
作者
Steel, Mike [1 ]
Hordijk, Wim [2 ]
Kauffman, Stuart A. [3 ]
机构
[1] Univ Canterbury, Biomath Res Ctr, Christchurch, New Zealand
[2] Konrad Lorenz Inst Evolut & Cognit Res, Klosterneuburg, Austria
[3] Inst Syst Biol, Seattle, WA USA
关键词
Birth-death process; Explosive growth; Extinction; Combinatorial formation; POPULATION;
D O I
10.1016/j.jtbi.2020.110187
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A feature of human creativity is the ability to take a subset of existing items (e.g. objects, ideas, or techniques) and combine them in various ways to give rise to new items, which, in turn, fuel further growth. Occasionally, some of these items may also disappear (extinction). We model this process by a simple stochastic birth-death model, with non-linear combinatorial terms in the growth coefficients to capture the propensity of subsets of items to give rise to new items. In its simplest form, this model involves just two parameters (P, alpha). This process exhibits a characteristic 'hockey-stick' behaviour: a long period of relatively little growth followed by a relatively sudden 'explosive' increase. We provide exact expressions for the mean and variance of this time to explosion and compare the results with simulations. We then generalise our results to allow for more general parameter assignments, and consider possible applications to data involving human productivity and creativity. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Speed of stability for birth-death processes
    Mu-Fa Chen
    Frontiers of Mathematics in China, 2010, 5 : 379 - 515
  • [22] Spatial birth-death swap chains
    Huber, Mark
    BERNOULLI, 2012, 18 (03) : 1031 - 1041
  • [23] The Fossilized Birth-Death Model Is Identifiable
    Truman, Kate
    Vaughan, Timothy G.
    Gavryushkin, Alex
    Gavryushkina, Alexandra
    SYSTEMATIC BIOLOGY, 2025, 74 (01) : 112 - 123
  • [24] Study of Birth-Death Processes with Immigration
    Shiny, K. S.
    Viswanath, Narayanan C.
    CROATIAN OPERATIONAL RESEARCH REVIEW, 2022, 13 (01) : 49 - 63
  • [25] Spectral properties of birth-death polynomials
    van Doorn, Erik A.
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2015, 284 : 251 - 258
  • [26] Speed of stability for birth-death processes
    Chen, Mu-Fa
    FRONTIERS OF MATHEMATICS IN CHINA, 2010, 5 (03) : 379 - 515
  • [27] FORMULAS FOR AVERAGE TRANSITION TIMES BETWEEN STATES OF THE MARKOV BIRTH-DEATH PROCESS
    Zhernovyi, Yuriy
    Kopytko, Bohdan
    JOURNAL OF APPLIED MATHEMATICS AND COMPUTATIONAL MECHANICS, 2021, 20 (04) : 99 - 110
  • [28] Study on birth-death process in the evolution modes of high-tech effusion
    Wu, H
    Ma, QG
    Yao, ZJ
    VALUE ENGINEERING & TECHNOLOGY INNOVATION, INTERNATIONAL CONFERENCE PROCEEDINGS, 1999, : 177 - 184
  • [29] A Birth-Death Process Model on Collision and Coalescence of Drops in Gas/Drop Flows
    Xue, S. S.
    Xu, M.
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2015), 2015, 13 : 788 - 791
  • [30] Ergodicity Bounds for Birth-Death Processes with Particularities
    Zeifman, Alexander I.
    Satin, Yacov
    Korotysheva, Anna
    Shilova, Galina
    Kiseleva, Ksenia
    Korolev, Victor Yu.
    Bening, Vladimir E.
    Shorgin, Sergey Ya.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM-2015), 2016, 1738