• Login
    View Item 
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Robust Decision-Making Framework Based on Collaborative Agents

    Thumbnail
    Date
    2020-08-14
    Author
    Florez-Lozano, Johana;
    Caraffini, Fabio;
    Carlos, Parra;
    Gongora, Mario Augusto
    Metadata
    Show attachments and full item record
    Abstract
    Making decisions under uncertainty is very challenging but necessary as most real-world scenarios are plagued by disturbances that can be generated internally, by the hardware itself, or externally, by the environment. Hence, we propose a general decision-making framework which can be adapted to optimally address the most heterogeneous real-world domains without being significantly affected by undesired disturbances. Our paper presents a multi-agent based structure in which agents are capable of individual decision-making but also interact to perform subsequent, and more robust, collaborative decisionmaking processes. The complexity of each software agent can be kept quite low without deterioration of the performance since an intelligent and robust-to-uncertainty decision-making behaviour arises when their locally produced measures of support are shared and exploited collaboratively. We show that by equipping agents with classic computational intelligence techniques, to extract features and generate measures of support, complex hybrid multi-agent software structures capable of handling uncertainty can be easily designed. The resulting multi-agent systems generated with this approach are based on a two-phases decision-making methodology which first runs parallel local decision making processes to then aggregate the corresponding outputs to improve upon the accuracy of the system. To highlight the potential of this approach, we provided multiple implementations of the general framework and compared them over four different application scenarios. Results are promising and show that having a second collaborative decisionmaking process is always beneficial.
    Description
    Open access article. This research received financial support from the internally funded DMU GCRF2020 project "Collaborative methodology for enhancing sustainability in rural communities and the use of land". Project webpages: https://dmu.figshare.com/account/home#/projects/64511 https://sites.google.com/site/facaraff/research/gcrf18.
    Citation : Florez-Lozano, J. et al. (2020). A Robust Decision-Making Framework Based on Collaborative Agents. IEEE Access,
    URI
    https://dora.dmu.ac.uk/handle/2086/20073
    DOI
    https://doi.org/10.1109/access.2020.3016784
    ISSN : 2169-3536
    Research Institute : Institute of Artificial Intelligence (IAI)
    Peer Reviewed : Yes
    Collections
    • School of Computer Science and Informatics [2966]

    Related items

    Showing items related by title, author, creator and subject.

    • The role of information systems professionals in the provision for privacy and data protection within organisations, systems and the systems development process 

      Howley, Richard G. (Thesis or dissertation / Doctoral / PhD)
    • Ubiquitous Robotics System for Knowledge-based Auto-configuration System for Service Delivery within Smart Home Environments 

      Al-Khawaldeh, Mustafa Awwad Salem (Thesis or dissertation / Doctoral / PhD)
      The future smart home will be enhanced and driven by the recent advance of the Internet of Things (IoT), which advocates the integration of computational devices within an Internet architecture on a global scale [1, 2]. ...
    • A New Approach to Systems Integration in the Mechatronic Engineering Design Process of Manufacturing Systems 

      Proesser, Malte (Thesis or dissertation / Doctoral / PhD)
      Creating flexible and automated production facilities is a complex process that requires high levels of cooperation involving all mechatronics disciplines, where software tools being utilised have to work as closely as ...

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary
     

     

    Browse

    All of DORACommunities & CollectionsAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission DateThis CollectionAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission Date

    My Account

    Login

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary