William A. Griffin - University of Hawaii at...
Transcript of William A. Griffin - University of Hawaii at...
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William A. Griffin
Center for Social Dynamics and Complexity
Arizona State University
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This material is based upon work supported by the National Science
Foundation under Grant Nos.: 0339096; 0338864; 0324208. Any opinions,
findings and conclusions or recommendations expressed in this material are
those of the author(s) and do not necessarily reflect the views of the National
Science Foundation (NSF).
May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 2
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Mark Twain
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“.. one cannot step in the same river twice.”
“History does not repeat itself but it sure does
rhyme.”
“Ain’t nothin’ ever happened that can
happen again.”
“Those who don't know history are destined to
repeat it.”
Complex Systems
May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 4
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May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 5
Prohibition as a model
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ConsequencesGood
• Social
• Vote
• Integration
Bad
• Corruption
• Local, State
• Federal
• Alcohol
Ugly
• Crime
• Violence
• Poison
May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 6
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• Scale specific metrics
• Process and distributional characteristics
• Robust n_dimenional systems generate
scale specific metrics: micro, meso, macro,
time, space
• Collectively they generate a signature• e.g., hook echo in thunder storm consistent with tornado
presence
• Validation requires data
May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 7
Validation, Signatures, Metrics
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May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration
Rules
• Simple
• Local
• Update
• Evolve
• Feedback
• Sensitive:
• Time
• Event
• Space
• Scale
• Process
Agents
• Thin
• Heterogeneous
• Genetic
• Phenotype
• Ontogenetic
• Local Inhomogeneity
• Memory
• Spatial
• Imperfect use of Information
• Probabilistic Response
Edges
• Local
• Distribution
• Stochastic
• Update
• Reciprocal Influence
Distributions
• Behavioral Structure
• Exhaustive
• Mutually Exclusive
• Perturbations
Metrics
• Features
• Sensitive
• Process
• Stationary
• Stage
• Differences
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“Science, in other words, is a system of
relations. . . . it is the relations alone that
objectivity must be sought; it would be vain to
seek it in beings considered as isolated from
one another”. Henri Poincaré
“Science and Reality” in The Value of Science: Essential Writings of Henri
Poincaré (ed., Gould, S. J., 2001; pg. 347; original, 1913).
May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 9
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May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 10
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May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 11
Macro-level: emergent structure
Emergent order: e.g., groups
Reciprocal Influence
Micro-level: individuals
Time
Stationary?
Update?
Distribution?
Uncertainty?
Iterate?
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May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration 12
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May 22 – 23, 2010 Social Science and Social Computing: Steps to Integration
Weather Photos:• http://en.wikipedia.org/wiki/File:Tornadic_classic_supercell_radar.gif
• http://www.crh.noaa.gov/Image/unr/07-10-00/07-10-00_Base_Zoom.gif
• http://wildwildweather.com/forecastblog/2009/02/what-a-tornado-looks-like-on-
radar-2/
• http://chill.colostate.edu/w/CHILL_history
Prohibition:• Blum, D. (2010). The Poisoner's Handbook: Murder and the Birth of Forensic
Medicine in Jazz Age New York. Penguin Press HC.
• Okrent, D. (2010). Last Call: The Rise and Fall of Prohibition. Scribner.
References
System Quotes:• (1) Heraclitus; (2) Mark Twain; (3) Butch Hancock „Flatlanders‟; (4) Edmund
Burke
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