A new paradigm for SpeckNets: inspiration from fungal colonies

Ruth E. Falconer; James L. Bown; Emma Hart; Jon Timmis

doi:10.1109/SASOW.2008.55

A new paradigm for SpeckNets: inspiration from fungal colonies

Ruth E. Falconer, James L. Bown, Emma Hart, Jon Timmis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

44 Downloads (Pure)

Abstract

In this position paper, we propose the development of a new biologically inspired paradigm based on fungal colonies, for the application to pervasive adaptive systems. Fungal colonies have a number of properties that make them an excellent candidate for inspiration for engineered systems. Here we propose the application of such inspiration to a speckled computing platform. We argue that properties from fungal colonies map well to properties and requirements for controlling SpeckNets and suggest that an existing mathematical model of a fungal colony can developed into a new computational paradigm.

Original language	English
Title of host publication	Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops
Editors	Giovanna Di Marzo Serugendo, Marie-Pierre Gleizes
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	90-95
Number of pages	6
ISBN (Print)	9780769535531
DOIs	https://doi.org/10.1109/SASOW.2008.55
Publication status	Published - Oct 2008
Event	2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops - Venice, Italy Duration: 20 Oct 2008 → 24 Oct 2008 Conference number: 2

Conference

Conference	2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops
Abbreviated title	SASOW 2008
Country	Italy
City	Venice
Period	20/10/08 → 24/10/08

Access to Document

10.1109/SASOW.2008.55

Falconer_ANewParadigmForSpeckNets_Published_2008Final published version, 260 KB

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title = "A new paradigm for SpeckNets: inspiration from fungal colonies",

abstract = "In this position paper, we propose the development of a new biologically inspired paradigm based on fungal colonies, for the application to pervasive adaptive systems. Fungal colonies have a number of properties that make them an excellent candidate for inspiration for engineered systems. Here we propose the application of such inspiration to a speckled computing platform. We argue that properties from fungal colonies map well to properties and requirements for controlling SpeckNets and suggest that an existing mathematical model of a fungal colony can developed into a new computational paradigm.",

author = "Falconer, {Ruth E.} and Bown, {James L.} and Emma Hart and Jon Timmis",

year = "2008",

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booktitle = "Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops",

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note = "2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW 2008 ; Conference date: 20-10-2008 Through 24-10-2008",

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Falconer, RE , Bown, JL, Hart, E & Timmis, J 2008, A new paradigm for SpeckNets: inspiration from fungal colonies. in G Di Marzo Serugendo & M-P Gleizes (eds), Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops. IEEE , Piscataway, NJ, pp. 90-95, 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, Venice, Italy, 20/10/08. https://doi.org/10.1109/SASOW.2008.55

A new paradigm for SpeckNets : inspiration from fungal colonies. / Falconer, Ruth E.; Bown, James L.; Hart, Emma; Timmis, Jon.

Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops. ed. / Giovanna Di Marzo Serugendo; Marie-Pierre Gleizes. Piscataway, NJ : IEEE , 2008. p. 90-95.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A new paradigm for SpeckNets

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AU - Timmis, Jon

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AB - In this position paper, we propose the development of a new biologically inspired paradigm based on fungal colonies, for the application to pervasive adaptive systems. Fungal colonies have a number of properties that make them an excellent candidate for inspiration for engineered systems. Here we propose the application of such inspiration to a speckled computing platform. We argue that properties from fungal colonies map well to properties and requirements for controlling SpeckNets and suggest that an existing mathematical model of a fungal colony can developed into a new computational paradigm.

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BT - Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops

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