Emergent distributed bio-organization: A framework for achieving emergent properties in unstructured distributed systems

George Eleftherakis, Ognen Paunovski, Konstantinos Rousis, Anthony J. Cowling

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

Distributed systems are particularly well suited to hosting emergent phenomena, especially when individual nodes possess a high degree of autonomy and the overall control tends to be decentralized. Introducing novel bio-inspired behaviours and interactions among individual nodes and the environment as a means of engineering desirable behaviours, could greatly assist with managing the complexity inherent to artificial distributed systems. The paper details the Emergent Distributed Bio-Organization (EDBO) as an abstract distributed system model aiming to engineer emergent properties at the macroscopic level. EDBO was designed to be suitable as a starting point in the design of a specific class of problems of real-world distributed systems. A thorough discussion justifies why the proposed bio-inspired properties planted into the model, could potentially allow for the desired behaviours to emerge.

Original languageEnglish (US)
Title of host publicationIntelligent Distributed Computing VI
Subtitle of host publicationProceedings of the 6th International Symposium on Intelligent Distributed Computing - IDC 2012, Calabria, Italy, September 2012
PublisherSpringer Verlag
Pages23-28
Number of pages6
ISBN (Print)9783642325236
DOIs
StatePublished - 2013

Publication series

NameStudies in Computational Intelligence
Volume446
ISSN (Print)1860-949X

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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