IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i21p4157-d965268.html
   My bibliography  Save this article

Framework for Integrated Use of Agent-Based and Ambient-Oriented Modeling

Author

Listed:
  • Khurrum Mustafa Abbasi

    (Department of Software Engineering, Bahria University, Islamabad 44000, Pakistan
    These authors contributed equally to this work.)

  • Tamim Ahmed Khan

    (Department of Software Engineering, Bahria University, Islamabad 44000, Pakistan
    These authors contributed equally to this work.)

  • Irfan ul Haq

    (Pakistan Institute of Engineering and Applied Sciences, Islamabad 44000, Pakistan
    These authors contributed equally to this work.)

Abstract

Agent-based modeling (ABM) is a flexible and simulation-friendly modeling approach. Ambient-oriented modeling is effective for systems containing ambient and spatial representations. In this paper we propose a framework for the integrated use of agent-based modeling and ambient-oriented modeling. We analyze both agents and ambient in detail. We also compare both modeling approaches as well and analyze their similarities and differences. The integrated implementation provides a new link between mathematical modeling and simulations. The model developed using this framework has four parts. The first part constitutes the identification, definition, and relations of agents. In this part, we use agent-based modeling along with the concepts of discrete-event simulations and system dynamics. The second part of the model is the mathematical representation of the relations of agents, i.e., the parent and child relation of agents. The third part of the model is the representation of the messages along with relational symbols where we utilize the concepts and symbols of relations and messages from ambient-oriented modeling. The fourth and final part of the model is the simulation, where we describe the rules that govern the processes represented in first two parts. The framework is helpful in overcoming certain limitations of both approaches. Moreover, we provide a scenario of a bus rapid transit system (BRTS) as a proof of concept, and we examine the generic concept of BRTSs using the proposed framework.

Suggested Citation

  • Khurrum Mustafa Abbasi & Tamim Ahmed Khan & Irfan ul Haq, 2022. "Framework for Integrated Use of Agent-Based and Ambient-Oriented Modeling," Mathematics, MDPI, vol. 10(21), pages 1-23, November.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4157-:d:965268
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/21/4157/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/21/4157/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qinmu Xie & Shoufeng Ma & Ning Jia & Yang Gao, 2014. "Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-16, July.
    2. Giuseppe Bruno & Andrea Genovese & Antonino Sgalambro, 2010. "An Agent-Based framework for modeling and solving location problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 81-96, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. He, Zhou & Cheng, T.C.E. & Dong, Jichang & Wang, Shouyang, 2016. "Evolutionary location and pricing strategies for service merchants in competitive O2O markets," European Journal of Operational Research, Elsevier, vol. 254(2), pages 595-609.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4157-:d:965268. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.