Agent-Based Model for Analyzing the Impact of Movement Factors of Sahelian Transhumant Herds

被引:1
|
作者
Cheick Amed Diloma Gabriel Traore [1 ]
Etienne Delay [2 ]
Djibril Diop [6 ]
Alassane Bah [2 ]
机构
[1] University Cheikh Anta Diop,Department of Mathematics and Computer Science, Faculty of Science and Technic
[2] University Cheikh Anta Diop,UMMISCO
[3] CIRAD,UMR
[4] Institut Sénégalais de Recherches Agricoles (ISRA),Sens
[5] University Cheikh Anta Diop,Bureau d’Analyses Macroéconomiques (BAME)
[6] Réseau des Enseignants chercheurs et Chercheurs en Informatique du Faso (RECIF),Ecole Supérieure Polytechnique
来源
Human-Centric Intelligent Systems | 2024年 / 4卷 / 3期
关键词
Multi-agent system; Agent based modeling; Distributed artificial intelligence; Sahel; Pastoral mobility;
D O I
10.1007/s44230-024-00075-1
中图分类号
学科分类号
摘要
Transhumants move their herds based on strategies simultaneously considering several environmental and socio-economic factors. There is no agreement on the influence of each factor in these strategies. In addition, there is a discussion about the social aspect of transhumance and how to manage pastoral space. In this context, agent-based modeling can analyze herd movements according to the strategy based on factors favored by the transhumant. This article presents a reductionist agent-based model that simulates herd movements based on a single factor. Model simulations based on algorithms to formalize the behavioral dynamics of transhumants through their strategies. The model results establish that vegetation, water outlets and the socio-economic network of transhumants have a significant temporal impact on transhumance. Water outlets and the socio-economic network have a significant spatial impact. The significant impact of the socio-economic factor demonstrates the social dimension of Sahelian transhumance. Veterinarians and markets have an insignificant spatio-temporal impact. To manage pastoral space, water outlets should be at least 15km\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$15\ km$$\end{document} from each other. The construction of veterinary centers, markets and the securitization of transhumance should be carried out close to villages and rangelands.
引用
收藏
页码:363 / 381
页数:18
相关论文
共 50 条
  • [41] Improving an Agent-Based Model by Using Interdisciplinary Approaches for Analyzing Structural Change in Agriculture
    Appel, Franziska
    Ostermeyer, Arlette
    Balmann, Alfons
    Larsen, Karin
    ADVANCES IN SOCIAL COMPUTING, PROCEEDINGS, 2010, 6007 : 360 - +
  • [42] A mathematical model for analyzing the proxy bidding method for mobile agent-based auction services
    Zhang, J
    Chan, HCB
    18TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 1 (LONG PAPERS), PROCEEDINGS, 2004, : 518 - 523
  • [43] SimKnowledge—Analyzing impact of knowledge management measures on team organizations with multi agent-based simulation
    René Peinl
    Ronald Maier
    Information Systems Frontiers, 2011, 13 : 621 - 636
  • [44] Market impact and performance of arbitrageurs of financial bubbles in an agent-based model
    Westphal, Rebecca
    Sornette, Didier
    JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2020, 171 : 1 - 23
  • [45] An Agent-Based Model to Study the Impact of Convex Incentives on Financial Markets
    Fabretti, Annalisa
    Garling, Tommy
    Herzel, Stefano
    Holmen, Martin
    TRENDS IN PRACTICAL APPLICATIONS OF SCALABLE MULTI-AGENT SYSTEMS, THE PAAMS COLLECTION, 2016, 473 : 3 - 13
  • [46] An Agent-Based Model for the Impact of Price Limit Changes on Market Quality
    Xiong, Xiong
    Liu, Jinchi
    Yang, Zonghang
    Han, Jiatong
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2022, 21 (06) : 1777 - 1795
  • [47] An agent-based transportation impact sketch planning (TISP) model system
    Hammadi, Ayad A.
    Miller, Eric J.
    JOURNAL OF TRANSPORT AND LAND USE, 2021, 14 (01) : 219 - 253
  • [48] Agent-Based Intelligent Interface for Wheelchair Movement Control
    Barriuso, Alberto L.
    Perez-Marcos, Javier
    Jimenez-Bravo, Diego M.
    Villarrubia Gonzalez, Gabriel
    De Paz, Juan F.
    SENSORS, 2018, 18 (05)
  • [49] Pigs in space: An agent-based model of wild boar (Sus scrofa) movement into cities
    Toger, Marina
    Benenson, Itzhak
    Wang, Yuqi
    Czamanski, Daniel
    Malkinson, Dan
    LANDSCAPE AND URBAN PLANNING, 2018, 173 : 70 - 80
  • [50] AgentSeal: Agent-based model describing movement of marine central-place foragers
    Chudzinska, Magda
    Nabe-Nielsen, Jacob
    Smout, Sophie
    Aarts, Geert
    Brasseur, Sophie
    Graham, Isla
    Thompson, Paul
    McConnell, Bernie
    ECOLOGICAL MODELLING, 2021, 440