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CSSS Santa Fe 2009

Tom Carter

Here is a link to a page with various background readings -- I'll be talking about some of this material, watch the wiki for days/times


Adaptive Modeling in Social Science (Nathan Collins)

Reinforcement learning and related approaches:

Colin Camerer and Teck Ho, Experience-weighted attraction (EWA) learning in normal-form games," Econometrica, 67, July 1999, 827-874.

Camerer, Ho, and Chong, <a href=http://www.hss.caltech.edu/~camerer/fewaRES.PDF>Function EWA: A one-parameter model of learning in games</a>.

Nathan Collins, <a href=http://www.santafe.edu/~nac/Papers/GameLearning.pdf>Risk Learning</a>.

Sutton and Barto, <a href = http://www.cs.ualberta.ca/%7Esutton/book/ebook/the-book.html>Reinforcement Learning</a>. An extensive introduction to reinforcement learning methods. I will cover an infinitesimal portion of this material.

Aspiration-based models:

Jonathan Bendor, Daniel Diermeier, and Michael Ting, <a href=http://gsbapps.stanford.edu/researchpapers/library/rp1627.pdf>A Behavioral Model of Turnout</a>. (This is an older, working-paper version. The published version is available at jstor.org.)

Nathan Collins, Sunil Kumar, and Jonathan Bendor, The Adaptive Dynamics of Turnout, Journal of Politics 71(2), April 2009, 457-472.

Categorization-based models (which we may or may not get to):

Love, Medin, and Gureckis, <a href=http://love.psy.utexas.edu/~love/papers/love_etal_2004.pdf>SUSTAIN: a network model of category learning</a>.

Collins, <a href=http://www.santafe.edu/~nac/Papers/SpatialVoting4.pdf>A Unified Model of Spatial Voting</a>.