130. Bayesian Epistemology and Predictive Processing

2017-11-01

Bayesian statistics - what are they? Do I want them? What do they have to do with epistemology, rationality, and prediction? Is it possible theyre happening inside me RIGHT NOW?

Audio Version MP3

Arbitals Guide to Bayess Rule - https://arbital.com/p/bayes_rule_guide/

Bayess Theorem Illustrated (My Way) (komponisto, 2010) - http://lesswrong.com/lw/2b0/bayes_theorem_illustrated_my_way/

How Bayesian Inference Works (Rohrer, 2016) - https://www.youtube.com/watch?v=5NMxiOGL39M

Book Review: Surfing Uncertainty (Alexander, 2017) - http://slatestarcodex.com/2017/09/05/book-review-surfing-uncertainty/

The Stanford Encyclopedia of Philosophy - Bayesian Epistemology (Talbott, 2008) - https://plato.stanford.edu/entries/epistemology-bayesian/

Bayesian Epistemology Course Notes and Readings (Stefnsson, 2016) - http://orristefansson.is/bayesian-epistemology

Bayesian Statistics: Why and How (Dablander, 2015) - http://blog.efpsa.org/2015/08/03/bayesian-statistics-why-and-how/

The New York Timess review of The Theory That Would Not Die, a book about the history of Bayess Theorem (Paulos, 2011) - http://www.nytimes.com/2011/08/07/books/review/the-theory-that-would-not-die-by-sharon-bertsch-mcgrayne-book-review.html?pagewanted=all

Perceiving as Predicting (Clark and his amazing shirt, 2013, for the 9th International Symposium of Cognition, Logic and Communication) - https://youtu.be/05P41FQlgjI?t=12m45s

Wikipedia on “Receptive Field,” a primitive neural structure that shows exactly the sort of shape/border recognition posited in “Layer 2” (thanks to Elena for this one!) - https://en.wikipedia.org/wiki/Receptive_field

Predictive Processing And Perceptual Control (Alexander, 2017) - http://slatestarcodex.com/2017/09/06/predictive-processing-and-perceptual-control/

Predictive processing simplified: The infotropic machine (Thornton, 2017) - https://www.ncbi.nlm.nih.gov/pubmed/27102775

Whatever next? Predictive brains, situated agents, and the future of cognitive science (Clark et al, 2017) - http://www.fil.ion.ucl.ac.uk/~karl/Whatever%20next.pdf

← Back to Episodes