building BRIDGES
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17-Sep-2014 -
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Transcript of building BRIDGES
Looking for a bridge between
approaches
A bridge for what?
Global knowledge
Local knowledge
Local knowledge
HOW IS THE CURRENT BRIDGE?
Tacit Knowledge
Structured InformaHon
Global knowledge
Global knowledge
Local knowledge
HOW IS THE CURRENT BRIDGE?
Disintegrated policies
Structured InformaHon Organized
knowledge
Tacit Knowledge
Global knowledge
Local knowledge
Why is this so?
Disintegrated policies
Structured InformaHon Organized
knowledge
Tacit Knowledge
Global knowledge
Local knowledge
Why is this so?
Disintegrated policies
Structured InformaHon Organized
knowledge
Policy Modeling
DEEP SHALLOW
Formalizing Dynamics Formalizing
Associa1ons
Mainstream Policy Science
Tacit Knowledge
• System of Variables (dependent – independent) • Linear relaHon • Hierarchical organizaHon • Homogeneity assumpHons • Scare of Ecological Fallacy
Policy Modeling
DEEP SHALLOW
Formalizing Dynamics Formalizing
Associa1ons
Global knowledge
Local knowledge
Why is this so?
Disintegrated policies
Structured InformaHon Organized
knowledge
Tacit Knowledge
• Networks of Actors • Feedback relaHons • Emergent organizaHon • Heterogeneity of behavior
Mainstream Policy Science
• System of Variables (dependent – independent) • Linear relaHon • Hierarchical organizaHon • Homogeneity assumpHons • Scare of Ecological Fallacy
But…
Policy Modeling
DEEP SHALLOW
Formalizing Dynamics Formalizing
Associa1ons
Global knowledge
Local knowledge
Can we reconcile this?
Disintegrated policies
Structured InformaHon Organized
knowledge
Tacit Knowledge
• Networks of Actors • Feedback relaHons • Emergent organizaHon • Heterogeneity of behavior
Mainstream Policy Science
• System of Variables (dependent – independent) • Linear relaHon • Hierarchical organizaHon • Homogeneity assumpHons • Scare of Ecological Fallacy
But…
Policy Modeling
Global knowledge
Local knowledge
Can we reconcile this?
Organized knowledge
Tacit Knowledge
• Networks of Actors • Feedback relaHons • Emergent organizaHon • Heterogeneity of behavior
DEEP
Formalizing Dynamics
Policy Modeling
Global knowledge
Local knowledge
A computaHonal
bridge!
Organized knowledge
Tacit Knowledge
• Networks of Actors • Feedback relaHons • Emergent organizaHon • Heterogeneity of behavior
DEEP
Formalizing Dynamics
AGENT-‐BASED MODELING
Learning and adapta,on
Rules Path-‐dependence
Localized
BASIC IDEA:
Learning and adapta,on
Organized knowledge
Tacit Knowledge
• Networks of Actors • Feedback relaHons • Emergent organizaHon • Heterogeneity of behavior
Formalizing Dynamics
AGENT-‐BASED MODELING
Path-‐dependence
Rules
Localized We program agents.
• PercepHon • Knowledge • Response
• RaHonally-‐bounded
BASIC IDEA:
Learning and adapta,on
Organized knowledge
Tacit Knowledge
• Networks of Actors • Feedback relaHons • Emergent organizaHon • Heterogeneity of behavior
Formalizing Dynamics
AGENT-‐BASED MODELING
Path-‐dependence
Rules
Localized
We can have mulHple agents
BASIC IDEA:
Learning and adapta,on
Organized knowledge
Tacit Knowledge
• Networks of Actors • Feedback relaHons • Emergent organizaHon • Heterogeneity of behavior
Formalizing Dynamics
AGENT-‐BASED MODELING
Path-‐dependence
Rules
Localized
We can have mulHple agents
MULTIPLE LEVELS
MULTIPLE INTERACTIONS
BASIC IDEA:
Learning and adapta,on
Organized knowledge
Tacit Knowledge
• Networks of Actors • Feedback relaHons • Emergent organizaHon • Heterogeneity of behavior
Formalizing Dynamics
AGENT-‐BASED MODELING
Path-‐dependence
Rules
Localized
We can have mulHple agents
MULTIPLE LEVELS
MULTIPLE INTERACTIONS
TRAJECTORIES AND SCALES
GREAT APPROACH… but challenging
PROGRA
MMING
?
COMPU
TING ?
?
INTERE
ST
ABS
TRACT
ION
?
DECOMPO
SABILITY
COMPU
TABILITY
DECIDABILITY
VALIDITY
Hands on!
hYp://climatechangejm.blogspot.com/
PLEASE, GO TO:
DISCUSSION
• Human Agency (Hassan, 2009; Crate & Nutall, 2009)
• History and Heterogeneity maYer (Rosen, 2003)
• Scale (Strauss & Orlove,2003; Rosen, 2003)
• Individual PercepHon and Strategic responses (Rosen,2003)
• Tractability of climate change (Rayner,2003; Hassan, 2009)
• JusHce (Crate & Nutall, 2009)
How do you think ABM could face these issues?
CLOSING COMMENTS How can a simulaHon ever tell us anything that we do not already know?
1. A simulaHon is no beYer than the assumpHons built into it. 2. A computer can do only what it is programmed to do.
HOLDING THAT:
ASSUMPTIONS ASSUMPTIONS Correct Premises Correct Premises
Correct Reasoning Correct Reasoning
SPACE OF DERIVED POSSIBILITIES ?
CLOSING COMMENTS How can a simulaHon ever tell us anything that we do not already know?
1. A simulaHon is no beYer than the assumpHons built into it. 2. A computer can do only what it is programmed to do.
HOLDING THAT:
Minimal properHes
Relevant relaHonships
Sufficient Concepts
MODELING THE POORLY UNDERSTOOD
Minimal properHes
Relevant relaHonships
Sufficient Concepts