Skip to main content
Open Access Publications from the University of California

UC Berkeley

UC Berkeley Electronic Theses and Dissertations bannerUC Berkeley

Testing Models of Cognition at Scale


The explosion of data generated during people's interactions online presents an opportunity for cognitive scientists to evaluate their models on real-world tasks outside the constraints of the psychology laboratory. In addition, new internet-based experimental paradigms and crowd-sourcing tools have reduced the challenge of data collection, offering researchers the opportunity to apply powerful new data-driven modeling techniques in domains which were previously limited to hand-tuned theoretic models. In this thesis I illustrate the opportunity internet-scale data offer cognitive scientists using three in-depth case-studies. Each study focuses on a different fundamental question in cognitive science -- search in associative memory, generalization, and risky-choice behavior, respectively -- and demonstrates how larger datasets and new online experimental methods make analyses which would otherwise prove difficult or impossible using traditional in-lab techniques feasible.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View