Models of the mind
2022-01-09 — 2022-01-09
Wherein the mind is treated as a machine-learning engine and predictive coding is examined, accounts of how an algorithm feels are given, and depressive states are presented as failures of inference.
collective knowledge
life
mind
probability
statistics
statmech
Eliezer Yudkowsky’s essay, How an algorithm feels from the inside.
What sort of thing a brain is.
1 Mind as machine learning
See mind as ML.
2 Mind as inference
See predictive coding.
3 Depression
See depression.
4 In what sense is “neurotypical” real?
TBC
5 References
Hagens. 2020. “Economics for the Future – Beyond the Superorganism.” Ecological Economics.
Hazlett. 2013. A Luxury of the Understanding: On the Value of True Belief.
Hoffman, and Prakash. 2014. “Objects of consciousness.” Frontiers in Psychology.
Hoffman, Singh, and Prakash. 2015. “The Interface Theory of Perception.” Psychonomic Bulletin & Review.
Mark, Marion, and Hoffman. 2010. “Natural Selection and Veridical Perceptions.” Journal of Theoretical Biology.
Prakash, Fields, Hoffman, et al. 2020. “Fact, Fiction, and Fitness.” Entropy.
Prakash, Stephens, Hoffman, et al. 2021. “Fitness Beats Truth in the Evolution of Perception.” Acta Biotheoretica.