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Project Descriptions
Spring 2026

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Showing 4 projects out of 4 found. On page 1 out of 1.
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Machine Learning Tools for Computational Cognitive Modeling

Anne Collins - Professor, Psychology

Status: Full- no new appr needed     Weekly Hours: 9-11 hrs     Location: On Campus

Computational cognitive models are mathematical tools that help us understand the underlying processes of human cognition. Researchers use these models to test different hypotheses about how the mind works. Traditionally, selecting the best model to explain human behavior relies on standard statistical techniques like maximum likelihood estimation. However, these methods...

 Social Sciences   Education, Cognition & Psychology

Studying habit learning using a computerized decision making task

Anne Collins - Professor, Psychology

Status: Full- no new appr needed     Weekly Hours: 6-8 hrs     Location: On Campus

Habits are inflexible patterns of behavior that have become deeply ingrained through repetition. When it comes to situations we are likely to encounter often, habitual control can be effective and efficient. When passing by the Campanile en route to class, you might turn left automatically, and eventually arrive at your...

 Social Sciences   Education, Cognition & Psychology

Goal-setting in the real world

Anne Collins - Professor, Psychology

Status: Full- no new appr needed     Weekly Hours: 9-11 hrs     Location: On Campus

From founding a startup to climbing the tallest peaks, people set a wide range of objectives for themselves. How do people decide which goals to set? How do they manage progress towards different – and perhaps competing – objectives? The proposed research plans to investigate goal setting in a range of naturalistic...

 Social Sciences   Education, Cognition & Psychology

Computational Modeling of Learning in Complex Environments

Anne Collins - Professor, Psychology

Status: Full- no new appr needed     Weekly Hours: 12 or more hours     Location: On Campus

Navigating complex natural environments presents a robust challenge to even the most advanced artificial systems, yet humans can often handle these same challenges effortlessly. What algorithms underly these human capabilities to learn and generalize so efficiently? My research investigates the learning algorithms implemented by the human brain to efficiently act...

 Social Sciences   Education, Cognition & Psychology

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