COGNITIVEEDGE Contextual complexity Almaden Institute.
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Transcript of COGNITIVEEDGE Contextual complexity Almaden Institute.
COGNITIVEEDGE
Contextual complexity
Almaden Institute
Nasrudin found a weary falcon sitting one day on his window-sill.He had never seen a bird like this before. “You poor thing”, he said, “how ever were you to allowed to get into this state?”He clipped the falcon’s talons and cut its beak straight, and trimmed its feathers.“Now you look more like a bird”, said Nasrudin
Shah, Idries (1985) The exploits of the Incomparable Mulla Nasrudin & The subtleties of the Inimitable Mulla Nasrudin. London: Octagon Press
Copyright © 2007 Cognitive Edge. All Rights Reserved. 2
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The taxi & the map
“The Knowledge”1851 to current day320 standard routes25K streetsPoints of public interestOrder of theatres30% success rate2-4 yearsEnlarged Hippocampus
Copyright © 2007 Cognitive Edge. All Rights Reserved. 4
The context
The sterility of social science & the confusion of correlation with causationKey aspects of complex adaptive systems
They are very sensitive to initial starting conditionsThey have feedback loopsThe are retrospectively coherent (which gives us a major headache)They exist far from equilibriumScalability & phase shiftsEmergent properties & the relationship of the whole to the parts
Simulation should not be confused with predictionYou cannot engineer a ecology, but …
You can destroy it by trying toHowever you can influence its evolutionBut we need new approaches to discovering meaningAnd there are no rules of engagement ……
Moving from stability to resilience: the necessary degree of inefficiency needed to ensure effectiveness Humans are not ants …..
… neither are they computers
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… meeting them half way
Brains are analogue, computers are digital
Brains use content addressable memory
The brain is massively parallel not modular and serial
Processing is not fixed in the brain, there is no system clock
Short term memory is not like RAM
No hardware/software distinction can be made with respect to brain/mind
Synapses are far more complex than electrical logic gates
Processing & memory are performed in the same components in the brain
The brain is a self organizing system
Brains have bodies
http://www.cognitive-edge.com/2007/03/_only_if_we_meet_them_half_way.php
Copyright © 2007 Cognitive Edge. All Rights Reserved. 6
The criticality of context
"...one theory of memory suggests that memories are composed of linked sensory fragments -- odors, sights, sounds, and even body positions. Simply activating one or more of those fragments makes the entire memory more likely to be retrieved”
Cognitive Daily
"A good metaphor is something even the police should keep an eye on."
G.C. Lichtenberg
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Ritual & identity
Wales 27 England 18Guide me, O Thou great Jehovah,Pilgrim through this barren land. I am weak, but Thou art mighty; Hold me with Thy powerful hand. Bread of heaven, bread of heaven, Feed me till I want no more; Feed me till I want no more.
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Knowledge (I-space adapted)
Un-codified concrete
Codified abstract
DiffusedUndiffused
Embodiedexperienced
Symbolicanalyzed
Narrative articulat
ed
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Narrative & complexity
Narrative is a basic patterning device of human interaction
The shift to metadata: recognizing cognitive bias
Serendipitous encounter & inquiry
Cross cultural understanding
Current applicationsRisk Assessment & Horizon Scanning
Pre-hypothesis market research
Ethical auditing & cultural mapping
Employee satisfaction surveys
Impact measurement & monitoring
Weak signal detection
Social cpmputing
“Paton’s brain” & KM systems
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Knowledge is context dependent
QuickTime™ and aTIFF (Uncompressed) decompressor
are needed to see this picture.
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Sensing patterns in metadata
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Sensing patterns in metadata
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Sensing patterns in metadata
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Diversity/Conflict 01.07-04.07
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Connectivity/Reach 01.07-04.07
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Morality/Sophistication 06.05-12.06
It is now impossible for the third and youngest son of any king, if he should embark on a quest which has so far claimed his older brothers, not to succeed. Stories don’t care who takes part in them. All that matters is that the story gets told, that the story repeats. Or, if you prefer to think of it like this: stories are a parasitical life form, warping lives in the service only of the story itself.
Terry Pratchett (1991) Witches abroad
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The landscape of management
Complex Output
Simple Output
Complex InputSimple Input
Computational Complexitya simulation
NaturalisingSense-makingan ecology
ProcessEngineeringa machine
SystemsDynamics
an organism
In the idealistic approach, the leaders of an organisation set out an ideal future state that they wish to achieve, identify the gap between the ideal and their perception of the present, and seek to close it. This is common not only to process-based theory but also to practice that follows the general heading of the “learning organisation”. Naturalistic approaches, by contrast, seek to understand a sufficiency of the present in order to act to stimulate evolution of the system. Once such stimulation is made, monitoring of emergent patterns becomes a critical activity so that desired patterns can be supported and undesired patterns disrupted. The organisation thus evolves to a future that was unknowable in advance, but is more contextually appropriate when discovered
Kurtz & SnowdenBramble Bushes in a Thicket
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The Cynefin framework
Bounded diversity
Humans can move systems to equilibrium states, and do so for good reason
“Multi-ontology sense-making
Example applicationsStrategy planning
Conflict resolution
Search and monitoring of incoming data
Project management and resource allocation
Innovation programs
Tool selection & application
SimpleS-C-R
Doctrine
Complicated
S-A-RAnalysis
ComplexP-S-R
Monitor
ChaoticA-S-R
Innovate
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IBM: Initial Questions
Are the fundamental laws for complex systems ? i.e. 2nd law of thermodynamicsWhat are the techniques to model and discern system level properties to and from properties of parts and interactions?
From systems biology, complexity science, control theory, physics…
How to determine the complexity in a state of a system?Can we anticipate catastrophic failures?
How to engineer predictable system level properties in large-scale systems of interacting parts?
Architectural stability and standards help but often abandoned due to vendors’ competitive will
How to anticipate the effects of perturbations and evolutions?
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Epistemic rain dances
Increasing variety of response
Incr
ea
sing
va
rie
ty o
f stim
ula
tion
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Thank You!www.cognitive-edge.com