AI Reading List: Sciences: Behavioral and Social
Below is a portion of my informal list of readings related to Artificial Intelligence (AI). This started out as a very short list created for use in conjunction with an academic presentation and has now grown much larger. Please let me know if you have any corrections, additions, suggestions, etc. It is very idiosyncratic and not meant to be comprehensive. Please feel free to share with others.
Artificial Intelligence (AI) Reading List, by Philip Rubin
Sciences — Behavioral and Social:
Rachael Funnell. Battle Of The Brains: Pigeon Vs. AI Learning? It's Pretty Similar. IFL Science, Feb. 8, 2023.
Emily Mullin. This Startup Is Using AI to Unearth New Smells. WIRED, Jan. 24, 2023.
APS. Up-and-Coming Voices: Artificial Intelligence in Psychological Science. Psychological Science, Jan. 1, 2023.
Neuroscience News. Novel Deep Learning Method May Help Predict Cognitive Function. NeuroScienceNews.com, Nov. 4, 2022.
Divyansh Garg. Learning to Imitate. The Stanford AI Lab Blog, Nov. 1, 2022.
Viorica Pătrăucean, Lucas Smaira, Ankush Gupta, Adria Recasens, Yi Yang, Mateusz Malinowski, Carl Doersch, Larisa Markeeva, Yury Sulsky, Dylan Banarse, Skanda Koppula, Tatiana Matejovicova, Antoine Miech, Alex Frechette, Junlin Zhang, Hanna Klimczak, Stephanie Winkler, Yusuf Aytar, Raphael Koster, Simon Osindero, Dima Damen, Andrew Zisserman, and João Carreira. Measuring perception in AI models. DeepMind.com, Oct. 12, 2022.
John E. Laird. Introduction to Soar. arXiv:2205.03854, May 8, 2022. (See, also, Soar Cognitive Architecture: Home.)
J. Eric T. Taylor and Graham W. Taylor. Artificial cognition: How experimental psychology can help generate explainable artificial intelligence. Psychonomic Bulletin and Review, 28, 454–475, 2021.
Pol Mac Aonghusa and Susan Michie. Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application. Annals of Behavioral Medicine, Volume 54, Issue 12, 942-947, December 2020.
Zach Zorich. How Archaeologists Are Using Deep Learning to Dig Deeper. New York Times, Nov. 24, 2020.
Julian Hazell. Combining AI and Behavioral Science Responsibly. The Decision Lab, 2020.
Neil Savage. How AI and neuroscience drive each other forwards. Nature, 571, S15-S17, 2019.
Sarah Pink and Debora Lanzeni. Future Anthropology Ethics and Datafication: Temporality and Responsibility in Research. Social Media + Society, Vol. 4, #2, May 2, 2018.
Sendhil Mullainathan and Jann Spiess. Machine Learning: An Applied Econometric Approach. Journal of Economic Perspective, Volume 31, Number 2, 87–106, Spring 2017.
Stephen Grossberg. Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world. Neural Networks, 37, 1-47, 2013.
Kenneth D. Forbus. AI and Cognitive Science: The Past and Next 30 Years. Topics in Cognitive Science, 2:3, 345-356, 2010.
Ray Jackendoff. Foundations of language: Brain, meaning, grammar, evolution. Oxford University Press: 2002. (See PDF).
Wikipedia. Soar (cognitive architecture).