A mathematical framework for collective foraging behavior of social insect colonies in multi-dynamic environments

被引:3
|
作者
Feng, Tao [1 ]
Liu, Chenbo [1 ]
机构
[1] Yangzhou Univ, Sch Math Sci, Yangzhou 225002, Peoples R China
基金
中国国家自然科学基金;
关键词
Collective foraging; Social insect colonies; Task demand; Stochastic environments;
D O I
10.1016/j.aml.2022.108547
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Understanding collective behavior is integral to disciplines including developmental biology, behavioral ecology, and sociology. In this investigation, we construct deterministic and stochastic models for exploring how internal factors (i.e., task demand) and external factors (i.e., dynamic environment) drive the collective foraging behavior of social insect colonies. Through theoretical analysis, we demonstrate the global stability of an interior equilibrium for the deterministic case, and study the existence of a unique stationary distribution for the stochastic case. Surprisingly, the global stability of the interior equilibrium and the existence of a unique stationary distribution of the proposed models do not depend on additional conditions. The main contribution of this work is to construct a new mathematical framework to explore the influence of internal stimulus and external fluctuation on the dynamics of social insect colonies, and to provide corresponding theoretical analysis methods.(c) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Autonomous Navigation in Dynamic Social Environments using Multi-Policy Decision Making
    Mehta, Dhanvin
    Ferrer, Gonzalo
    Olson, Edwin
    [J]. 2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), 2016, : 1190 - 1197
  • [42] A loosely coupled and distributed Bayesian framework for multi-context recognition in dynamic ubiquitous environments
    Ramakrishnan, Arun
    Preuveneers, Davy
    Berbers, Yolande
    [J]. 2013 IEEE 10TH INTERNATIONAL CONFERENCE ON AND 10TH INTERNATIONAL CONFERENCE ON AUTONOMIC AND TRUSTED COMPUTING (UIC/ATC) UBIQUITOUS INTELLIGENCE AND COMPUTING, 2013, : 270 - 277
  • [43] HumanSense: a framework for collective human activity identification using heterogeneous sensor grid in multi-inhabitant smart environments
    Ghosh, Arindam
    Chakraborty, Amartya
    Kumbhakar, Joydeep
    Saha, Mousumi
    Saha, Sujoy
    [J]. PERSONAL AND UBIQUITOUS COMPUTING, 2020, 26 (3) : 521 - 540
  • [44] HumanSense: a framework for collective human activity identification using heterogeneous sensor grid in multi-inhabitant smart environments
    Arindam Ghosh
    Amartya Chakraborty
    Joydeep Kumbhakar
    Mousumi Saha
    Sujoy Saha
    [J]. Personal and Ubiquitous Computing, 2022, 26 : 521 - 540
  • [45] A Multi-objective Mathematical Model Considering Economic and Social Criteria in Dynamic Cell Formation
    Niakan, Farzad
    Baboli, Armand
    Moyaux, Thierry
    Botta-Genoulaz, Valerie
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE AND KNOWLEDGE-BASED PRODUCTION MANAGEMENT IN A GLOBAL-LOCAL WORLD, APMS 2014, PT II, 2014, 439 : 46 - 53
  • [46] A new multi-objective evolutionary framework for community mining in dynamic social networks
    Attea, Bara'a A.
    Khoder, Haidar S.
    [J]. SWARM AND EVOLUTIONARY COMPUTATION, 2016, 31 : 90 - 109
  • [47] A formal mathematical framework for modeling and simulation of wireless sensor network environments utilizing the hill-building behavior of termites
    Zungeru, Adamu Murtala
    Ang, Li-Minn
    Seng, Kah Phooi
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2013, 89 (05): : 589 - 615
  • [48] Collective behavior of multi-agent network dynamic systems under internal and external random perturbations
    Chandra, J.
    Ladde, G. S.
    [J]. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2010, 11 (03) : 1330 - 1344
  • [49] Correction to: HumanSense: a framework for collective human activity identification using heterogeneous sensor grid in multi-inhabitant smart environments
    Arindam Ghosh
    Amartya Chakraborty
    Joydeep Kumbhakar
    Mousumi Saha
    Sujoy Saha
    [J]. Personal and Ubiquitous Computing, 2022, 26 : 541 - 542
  • [50] Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning
    Melo, MT
    Nickel, S
    da Gama, FS
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2006, 33 (01) : 181 - 208