Computation and Cognition: the Probabilistic Approach (psych 204, spring 2015)

Projects for Spring 2015

Project Title Authors
Sentence Final Punctuation and Affect in Text Message Communication Jenna Berkenkamp, Anne Evered, Liana Kadisha
Understanding the Costs and Benefits of Learning When Teaching Others Sophie Bridgers, Emily Tang
Political Identity and Goal Inference Based on Voting Behavior Jack Cook, Maggie Goulder, Virginia Steindorf
The Effect of Container Context on the Interpretation of "full," a Gradable Adjective

Jacob Dalder, April Yang

Knowing how to act in an uncertain world: a model of task-set inference Ian Eisenberg, Marisa Messina
Cognitive Analysis of Recursive Strategies in "Odd Man Out" Weston Gaylord
Using Probabilistic Programming for Game AI Bogac Kerem Goskel
What do newspapers, watches, credit cards, and liquors bottles have in common?
     A computational exploration of question behavior.

Robert Hawkins

Bayesian Network Properties With Complex Network Topologies Howon Lee
From whom do we learn: An exploration of biases in social learning Yuan Chang Leong
A Model of Inverse Intuitive Physics Matthew Levy, Colton Dempsey
Subjective Randomness: Pitch Contour as a Signal for Randomness in Musical Melodies

George Ma

Comparing the Believability of Emotion and Event Utterances Julie Nam
Modeling Scalar Diversity: Quantifying Ambiguous Scalar Semantics Ben Peloquin
Humor in Cartoon Captions Pedram Razavi
Anchoring on Extreme Values

Harry Simon, Jocelyn Hickcox, Gideon Weilder

Learning What Others Like: Preference Learning as a Mixed Multinomial Logit Model Natalia Velez
Bayesian Analysis for Probability-Matching Davis Wertheimer
Understanding of linguistic politeness Erica Yoon
"The Dress" – Inferring Visual Perception Using Church Alex Yorke, Lily Sierra, Aaron Sekhri
Generating Random Sequences For You: Modeling Subjective Randomness in Competitive Games     Arianna Yuan