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Biological metaphors and crisis
Eilidh McAdam1*, Ruth Falconer1, John Crawford2 and Jim Bown1
1 SIMBIOS Centre, University of Abertay Dundee2 Faculty of Agriculture, University of Sydney
* [email protected]
Building self-healing, emergence and resilience into criticalinfrastructures
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Critical Infrastructure
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Critical Infrastructure - Water
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Critical Infrastructure - Water
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Critical Infrastructure - Water
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Critical Infrastructure - Telecom
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Critical Infrastructure - Telecom
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Critical Infrastructure - Telecom
The Opte Project - http://www.opte.org/
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Critical Interdependency
S. M. Rinaldi, J. P. Peerenboom and T. K. Kelly 2001
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Critical Problems – Initial State
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Critical Problems – Key Node Failure
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Critical Problems
National Rail Enquiries 2007http://www.nationalrail.co.uk/passenger_services/maps/
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Critical Problems
S. M. Rinaldi, J. P. Peerenboom and T. K. Kelly 2001
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Critical Problems
S. M. Rinaldi, J. P. Peerenboom and T. K. Kelly 2001
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Biological Metaphors
N. Short. 2009. The RemoteSensing Tutorial. Section 20:Astronomy and Cosmology.http://rst.gsfc.nasa.gov/
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Biological Metaphors
Within a cell
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Biological Metaphors
Within an organism
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Biological Metaphors
Within a species
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Biological Metaphors
Within an ecosystem
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Fungal Network Properties
Tenacious
Ubiquitous
Massive
Longevous
Diverse
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Fungal Network Properties
Resource management
Decentralisation
Failure response
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Emergence in Fungi
Elements– hyphae
Respond tolocal stimuli
Global patterns Communication Biomass manipulation Response to failure
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Fungal Model
Trait-based approach
Series of partial differentialequations
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Fungal Model
Uptake
Recycling
Redistribution
Growth
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Reformulation
Grid-based → graph-based
Links model to application
Network theory
→
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Challenges
Conceptual transformation
Edge-based graph
Verification
Technical challenges
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Preliminary Verification
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Future - Application
How to apply the metaphor Types of biomass Traits
Infrastructure to focus on
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Future
Validation Sensitivity analysis
Metrics Graph theory metrics Robustness Efficient resource use