September 2005
Sun Mon Tue Wed Thu Fri Sat
        1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30  

Authors' Committee

Chair:

Matt Blackwell (Gov)

Members:

Martin Andersen (HealthPol)
Kevin Bartz (Stats)
Deirdre Bloome (Social Policy)
Andy Eggers (Gov)
John Graves (HealthPol)
Rich Nielsen (Gov)
Maya Sen (Gov)
Gary King (Gov)

Weekly Research Workshop Sponsors

Alberto Abadie, Lee Fleming, Adam Glynn, Guido Imbens, Gary King, Arthur Spirling, Jamie Robins, Don Rubin, Chris Winship

Recent Comments

Recent Entries

Categories

Blogroll

Brad DeLong
Cognitive Daily
Complexity & Social Networks
Developing Intelligence
EconLog
The Education Wonks
Empirical Legal Studies
Free Exchange
Freakonomics
Health Care Economist
Junk Charts
Language Log
Law & Econ Prof Blog
Machine Learning (Theory)
Marginal Revolution
Mixing Memory
Mystery Pollster
New Economist
Political Arithmetik
Political Science Methods
Pure Pedantry
Science & Law Blog
Simon Jackman
Social Science++
Statistical modeling, causal inference, and social science

Archives

Notification

Powered by
Movable Type 4.24-en


« September 21, 2005 | Main | September 23, 2005 »

22 September 2005

The Two Levels of Cognitive Science

Amy Perfors

Our job as social scientists is to learn how to take data that reflects various aspects of how people and societies work, and then use that data to form abstract theories or models about the world. Different fields in social science look at different data, but we all share common methods and (I imagine) some common general questions. This blog is set up to allow our different disciplines to discuss our commonalities of method and approach, sharing insights from our respective fields.

Cognitive science is a bit unusual because the questions of method and approach are simultaneously relevant on two levels rather than one. In cognitive science, the object of study (the brain) must solve the same questions as the scientists themselves. In other words, just as the job of the cognitive scientist is to figure out how best to take data in the world and form models about the world, the job of the brain is to figure out how to take data in the world and form a model about the world. As a result, the issues that crop up again and again for scientists—which quantitative approaches "compress" data most effectively and fastest, when statistical or symbolic models capture the world best, and how much needs to be built into our models from the beginning—are the very issues the brain needs to solve as it is learning about the world. They are thus issues that the cognitive science world continually debates about on both levels: not only what works for us as scientists (and when), but what works for the brain itself (and when).

When I post here, therefore, I'll be constantly playing with these levels: I'll be talking about quantitative methods in social science not just from the perspective of the scientist (as will everyone else here), but also from the perspective of the mind (which I'm guessing most other people won't). In short, the questions we all struggle with in terms of methodology are the same questions cognitive scientists struggle with in terms of content. It's my hope that playing with these questions on two levels at once will be edifying, entertaining, and lots of fun. I think it will be.

Posted by James Greiner at 7:00 AM