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
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