I am interested in Cognitive Architectures: unified computational models of the mind and brain. The guiding observation is that people are able to think about so many things, so deeply. They learn from a fraction of the data today's AI requires, and what they learn they often understand more deeply. My goal is to understand how this works computationally in the mind and brain, to understand people and build better AI.
I developed the Model Synthesis Architecture (MSA) framework – the idea that the mind solves tasks by on-the-fly synthesis of task-specific mental models. You can find our work exploring this idea here.
I am an Assistant Professor of Cognitive Science and Philosophy at Yale and faculty investigator at the Wu Tsai Institute's Center for Neurocomputation and Machine Intelligence, where I run the Computational Cognitive Architectures (CoCoArc) Lab.
Before coming to Yale, I was a Bersoff Faculty Fellow at NYU. I did my PhD in the philosophy and linguistics department at MIT, where I also worked closely with MIT's Computational Cognitive Science and Computational Psycholinguistics Laboratories.
Students and Postdocs: I'm recruiting PhD students and postdocs interested in Model Synthesis Architectures for cognitive science and AI. If you'd like to work with me as a PhD student, please apply through Yale Computer Science. Or as a Postdoc, please email me.
Email: tyler.brooke.wilson@gmail.com
Twitter: @t_brookewilson