• DocumentCode
    2105099
  • Title

    The Axiomatisation of Socio-Economic Principles for Self-Organising Systems

  • Author

    Pitt, Jeremy ; Schaumeier, J. ; Artikis, Alexander

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • fYear
    2011
  • fDate
    3-7 Oct. 2011
  • Firstpage
    138
  • Lastpage
    147
  • Abstract
    We are interested in engineering for open, embedded and resource-constrained systems, which have applications in ad hoc, sensor and opportunistic networks. In such systems, there is decentralised control, competition for resources and an expectation of both intentional and unintentional errors. The ´optimal´ distribution of resources is then less important than the ´robustness´ or ´survivability´ of the distribution mechanism, based on collective decision-making and tolerance of unintentional errors. We therefore seek to model resource allocation in the network as a common pool resource management problem, and apply a formal characterisation of Ostrom´s socio-economic principles for building enduring institutions. This paper presents a complete axiomatisation in the Event Calculus of six of Ostrom´s eight principles, describes a preliminary testbed for experimenting with the axiomatisation, and considers the work from a methodological perspective of sociologically-inspired computing for self-organising systems.
  • Keywords
    decentralised control; decision making; embedded systems; resource allocation; self-adjusting systems; socio-economic effects; temporal logic; Ostrom socio-economic principles; ad hoc networks; decentralised control; decision making; embedded systems; event calculus; open systems; opportunistic networks; pool resource management problem; resource constrained systems; self organising systems; sensor networks; socio-economic principles axiomatisation; sociologically inspired computing; Ad hoc networks; Calculus; Decision making; Monitoring; Resource management; Security; Water resources; Norms; Self-Organisation; Socio-Economics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems (SASO), 2011 Fifth IEEE International Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1949-3673
  • Print_ISBN
    978-1-4577-1614-0
  • Type

    conf

  • DOI
    10.1109/SASO.2011.25
  • Filename
    6063496