Selected Publications

Proposed a variant of the Metropolis-Hastings sampling algorithm as a rational process model for causal inference across a wide variety of tasks.
Under review, 2018
Preprint

We present a formal system of causal relationships using Ornstein-Uhlenbeck processes, finding that people use limited representations to deal with the vastly denser information flow.
In CogSci Proceedings, 2018
Preprint Dataset Demo Conference Paper Experiment Code

Developed a testbed for complex dynamic control tasks, finding that people’s behavior closely matched the predictions of an optimal controller and deep-Q network.
In CogSci Proceedings, 2018
Conference Paper Demo Experiment Code

Recent Publications

. A Process Model of Causal Cognition. Under review, 2018.

Preprint

. Causal Structure Learning with Continuous Variables in Continuous Time. In CogSci Proceedings, 2018.

Preprint Dataset Demo Conference Paper Experiment Code

. A Causal Model Approach to Dynamic Control. In CogSci Proceedings, 2018.

Conference Paper Demo Experiment Code

. The Causal Sampler: A Sampling Approach to Causal Representation, Reasoning and Learning. In CogSci, 2017.

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. Evaluating Causal Hypotheses: The Curious Case of Correlated Cues. In CogSci, 2016.

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