A quest toward a mathematical theory of the dynamics of swarms

被引:91
作者
Bellomo, Nicola [1 ,2 ]
Ha, Seung-Yeal [3 ,4 ,5 ]
机构
[1] King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah, Saudi Arabia
[2] Politecn Torino, Turin, Italy
[3] Seoul Natl Univ, Dept Math Sci, Seoul 151747, South Korea
[4] Seoul Natl Univ, Res Inst Math, Seoul 151747, South Korea
[5] Korea Inst Adv Study, Hoegiro 87, Seoul 130722, South Korea
基金
新加坡国家研究基金会;
关键词
Collective dynamics; Cucker-Smale flocking; learning; living complex systems; self-organization; swarming; collective behavior; nonlinear interactions; CUCKER-SMALE FLOCKING; SELF-DRIVEN PARTICLES; KINETIC-THEORY; MODEL; SYSTEMS; LIMIT; BEHAVIOR;
D O I
10.1142/S0218202517500154
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper addresses some preliminary steps toward the modeling and qualitative analysis of swarms viewed as living complex systems. The approach is based on the methods of kinetic theory and statistical mechanics, where interactions at the microscopic scale are nonlocal, nonlinearly additive and modeled by theoretical tools of stochastic game theory. Collective learning theory can play an important role in the modeling approach. We present a kinetic equation incorporating the Cucker-Smale flocking force and stochastic game theoretic interactions in collision operators. We also present a sufficient framework leading to the asymptotic velocity alignment and global existence of smooth solutions for the proposed kinetic model with a special kernel. Analytic results on the global existence and flocking dynamics are presented, while the last part of the paper looks ahead to research perspectives.
引用
收藏
页码:745 / 770
页数:26
相关论文
共 43 条
  • [1] Stochastic evolutionary differential games toward a systems theory of behavioral social dynamics
    Ajmone Marsan, G.
    Bellomo, N.
    Gibelli, L.
    [J]. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2016, 26 (06) : 1051 - 1093
  • [2] Modeling of self-organized systems interacting with a few individuals: From microscopic to macroscopic dynamics
    Albi, G.
    Pareschi, L.
    [J]. APPLIED MATHEMATICS LETTERS, 2013, 26 (04) : 397 - 401
  • [3] [Anonymous], 1962, AM MATH SOC TRANSL
  • [4] Aristov V. V., 2001, Direct Methods for Solving the Boltzmann Equation and Study of Nonequilibrium Flows
  • [5] On the stationary Povzner equation in Rn
    Arkeryd, L
    Nouri, A
    [J]. JOURNAL OF MATHEMATICS OF KYOTO UNIVERSITY, 1999, 39 (01): : 115 - 153
  • [6] A mathematical model for volatility flocking with a regime switching mechanism in a stock market
    Bae, Hyeong-Ohk
    Ha, Seung-Yeal
    Kim, Yongsik
    Lee, Sang-Hyeok
    [J]. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2015, 25 (07) : 1299 - 1335
  • [7] Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study
    Ballerini, M.
    Calbibbo, N.
    Candeleir, R.
    Cavagna, A.
    Cisbani, E.
    Giardina, I.
    Lecomte, V.
    Orlandi, A.
    Parisi, G.
    Procaccini, A.
    Viale, M.
    Zdravkovic, V.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (04) : 1232 - 1237
  • [8] A KINETIC THEORY DESCRIPTION OF LIQUID MENISCI AT THE MICROSCALE
    Barbante, Paolo
    Frezzotti, Aldo
    Gibelli, Livio
    [J]. KINETIC AND RELATED MODELS, 2015, 8 (02) : 235 - 254
  • [9] From a multiscale derivation of nonlinear cross-diffusion models to Keller-Segel models in a Navier-Stokes fluid
    Bellomo, N.
    Bellouquid, A.
    Chouhad, N.
    [J]. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2016, 26 (11) : 2041 - 2069
  • [10] ON THE DIFFICULT INTERPLAY BETWEEN LIFE, "COMPLEXITY", AND MATHEMATICAL SCIENCES
    Bellomo, N.
    Knopoff, D.
    Soler, J.
    [J]. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2013, 23 (10) : 1861 - 1913