CSSS 2009 Santa Fe-Readings

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.

Owen Densmore

For the NetLogo Tutorial, please read the first page and follow the instructions for downloading and installing the software. Then run at least one of the File > Models Library example models .. both for the fun of it and to make sure your software download works!

Doug Erwin: The History of Life and the Construction of Biodiversity

My talks will focus on various aspects of the construction of biodiversity, with the overall theme being how much we do not yet know about this problem, despite its obvious importance. The first lecture will provide an overview of the history of life, the nature of the fossil record, and the various aspects of diversity. In the second talk we will discuss a variety of different conceptual models to understand the growth of diversity, as well as their problems. There will be a number of possibilities for projects here. The third talk will focus on the Cambrian radiation of animals (about 570-510 million years ago) and particularly on the role of changes in developmental gene regulation. Some of the issues that I raise in these lectures will be explored in more detail by others later in the week.

This paper discusses the last common bilaterian ancestor: Media:Erwin and Davidson 2002.pdf

This paper discusses the nature of change in gene regulatory networks: Media:Erwin_and_Davidson_2009.pdf‎

This paper provides further background on morphologic disparity: Media:Erwin_2007_disparity.pdf‎

Adaptive Modeling in Social Science (Nathan Collins)

Please have a look at these notes and the related figures.

Papers you should at least have a look at prior to the lectures are marked with *.

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. (You will get a hard copy of this on Monday.)*

Supplementary material for this paper.

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.*