CSSS 2009 Santa Fe-Readings: Difference between revisions

Revision as of 23:06, 2 June 2009

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

Summer School readings.

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, Function EWA: A one-parameter model of learning in games.

Nathan Collins, Risk Learning.

Sutton and Barto, Reinforcement Learning. 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 Behavioral Model of Turnout. (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, SUSTAIN: a network model of category learning.

Collins, A Unified Model of Spatial Voting.

@@ Line 7: / Line 7: @@
 ----
-Adaptive Modeling in Social Science (Nathan Collins)
+----
+===Adaptive Modeling in Social Science (Nathan Collins)===
-Reinforcement learning and related approaches:
+====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>.
+Camerer, Ho, and Chong, [http://www.hss.caltech.edu/~camerer/fewaRES.PDF Function EWA: A one-parameter model of learning in games].
-Nathan Collins, <a href=http://www.santafe.edu/~nac/Papers/GameLearning.pdf>Risk Learning</a>.
+Nathan Collins, [http://www.santafe.edu/~nac/Papers/GameLearning.pdf Risk Learning].
-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.
+Sutton and Barto, [http://www.cs.ualberta.ca/%7Esutton/book/ebook/the-book.html Reinforcement Learning].  An extensive introduction to reinforcement learning methods.  I will cover an infinitesimal portion of this material.
-Aspiration-based models:
+====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.)
+Jonathan Bendor, Daniel Diermeier, and Michael Ting, [http://gsbapps.stanford.edu/researchpapers/library/rp1627.pdf A Behavioral Model of Turnout].  (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):
+====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>.
+Love, Medin, and Gureckis, [http://love.psy.utexas.edu/~love/papers/love_etal_2004.pdf SUSTAIN: a network model of category learning].
-Collins, <a href=http://www.santafe.edu/~nac/Papers/SpatialVoting4.pdf>A Unified Model of Spatial Voting</a>.
+Collins, [http://www.santafe.edu/~nac/Papers/SpatialVoting4.pdf A Unified Model of Spatial Voting].