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
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;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2011 Fifth IEEE International Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4577-1614-0
DOI :
10.1109/SASO.2011.25