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The many-model thinker
Why model?
The science of many models
Modeling human actors
Normal distributions : the bell curve
Power-law distributions : long tails
Linear models
Concavity and convexity
Models of value and power
Network models
Broadcast, diffusion, and contagion
Entropy : modeling uncertainty
Random walks
Path dependence
Local interaction models
Lyapunov functions and equilibria
Markov models
Systems dynamics models
Threshold models with feedbacks
Spatial and hedonic choice
Game theory models times three
Models of cooperation
Collective action problems
Mechanism design
Signaling models
Models of learning
Multi-armed bandit problems
Rugged-landscape models
Opioids, inequality, and humility.

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