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AI & Cognitive Modeling
by
Jennifer Hu
AI Model Evaluation
by
Neil McDonnell
Augmented Reality
by
Thomas L. Griffiths
Bayesian Models of Cognition
by
Christopher Mole
Computational Complexity
by
Raquel G. Alhama
and
Afra Alishahi
Computational Models of Language Learning
by
Patrick Butlin
Consciousness and AI
by
Maxwell J. D. Ramstead
The Free Energy Principle
by
Jun-Yan Zhu
and
Phillip Isola
Generative Modeling
by
Ingmar Visser
Hidden Markov Models
by
Melanie Mitchell
Large Language Models
by
Richard P. Cooper
and
David Peebles
Levels of Analysis
by
Adam N. Sanborn
Markov Chain Monte Carlo
by
John R. Anderson
Rational Analysis
by
James S. Magnuson
Recurrent Neural Networks
by
Anne GE Collins
Reinforcement Learning
by
Bradley C. Love
Supervised and Unsupervised Learning
by
Raphaël Millière
Transformers
by
Diane Proudfoot
The Turing Test
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