basic methodological references

Fellow travelers journeying through or near neuroscience, data science, “ai” aka machine “learning” aka pattern recognition and automated optimization, it’s worth sending out some basic methodological papers every once in a while:

• Joseph Henrich, WEIRDest People in the World: How the West Became Psychologically Peculiar and Particularly Prosperous, Harvard UP, 2022.

Henrich, Joseph, Steven Heine, Ara Norenzayan, "The Weirdest People in the World," 2009.


 Robert Epstein, "The empty brain: Your brain does not process information, retrieve knowledge or store memories. In short: your brain is not a computer"
Robert Epstein is a senior research psychologist at the American Institute for Behavioral Research and Technology in California. He is the author of 15 books, and the former editor-in-chief of Psychology Today. 
Why we do not want to impose cognitive load on users via “natural” language interfaces, when signal processing (AI++) now is strong enough to enable multimodal gesture-following as an alternative modality for human-machine interaction.

• Valerie Gray Hardcastle and C. Matthew Stewart, "What Do Brain Data Really Show?" Philosophy of Science  69.3 (2000). (attached pdf)

• David Donoho, 50 Years of Data Science


• CS Calude, Giuseppe Longo, "The Deluge of Spurious Correlations in Big Data”  Foundations of Science 22, 595–612 (2017).

Donald G Saari, “Mathematical Complexity of Simple Economics,” AMS (1995) (attached pdf)
Even simple, standard price adjustment models from economics – used to model the “invisible hand” story of Adam Smith – admit highly chaotic behavior.



Xin Wei
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Professor European Graduate School | Associate Editor AI & Society Journal | Founding Director Topological Media Lab | Senior Fellow Building21 McGill
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