• Login
    View Item 
    •   Home
    • Research Publications
    • Engineering & Technology
    • Department of Electronics, Computing & Maths
    • View Item
    •   Home
    • Research Publications
    • Engineering & Technology
    • Department of Electronics, Computing & Maths
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UDORACommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    About and further information

    AboutOpen Access WebpagesOpen Access PolicyTake Down Policy University Privacy NoticeUniversity NewsTools for ResearchersLibraryUDo

    Statistics

    Display statistics

    On the nonexistence of stationary solutions in bio-inspired collective decision making via mean-field game

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Stella, Leonardo
    Bauso, Dario
    Affiliation
    University of Sheffield
    Issue Date
    2017-12
    
    Metadata
    Show full item record
    Abstract
    Conditions for nonexistence of stationary solutions in collective decision making are investigated via discrete-state continuous-time mean-field games. The study builds on a bio-inspired model in honeybee swarms. The ultimate goal is to find the best alternative decision in a collective fashion. A cross-inhibition signal, as the one observed in honeybee swarms, is used to capture different types of failures, including disrupted communication channels, computational errors or malevolent behaviour. The model is based on the hypotheses that players control their transition rates from one state to another to minimise a cost, under the presence of an adversarial disturbance. The cost to minimise involves a penalty on control and a congestion-dependent term. As a main result, we prove that the solution obtained as the asymptotic limit of the nonstationary one can be approximated by a closed orbit trajectory. This argument is used to prove the nonexistence of stationary solution under certain conditions.
    Citation
    Stella, L. and Bauso, D., (2017). 'On the nonexistence of stationary solutions in bio-inspired collective decision making via mean-field game'. IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, VIC, Australia, 12-15 Dec. New York: IEEE, pp. 787-792.
    Publisher
    IEEE
    Journal
    2017 IEEE 56th Annual Conference on Decision and Control (CDC)
    URI
    http://hdl.handle.net/10545/624660
    DOI
    10.1109/cdc.2017.8263756
    Additional Links
    https://ieeexplore.ieee.org/abstract/document/8263756/keywords#keywords
    Type
    Meetings and Proceedings
    Language
    en
    ISSN
    9781509028733
    ae974a485f413a2113503eed53cd6c53
    10.1109/cdc.2017.8263756
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.