Probability

Edited and Enhanced Transcript, MINDS AND MACHINES Video Lecture Series, Symbolic Systems, Program, Stanford University, Autumn 2019

22 Pages Posted: 13 Aug 2020

See all articles by Todd Davies

Todd Davies

Stanford University - Symbolic Systems Program; Center for the Study of Language and Information

Date Written: September 27, 2019

Abstract

This is an edited and enhanced transcript (with notes and references added) from a lecture on "Probability", prepared as background material for the Minds and Machines course (SYMSYS 1/PSYCH 35/LINGUIST 35/PHIL 99) at Stanford University. From a video recorded July 30, 2019, as part of a series of lectures funded by a Vice Provost for Teaching and Learning Innovation and Implementation Grant to the Symbolic Systems Program at Stanford, with post-production work by Eva Wallack. Topics include Basic Probability Theory, Conditional Probability, Independence, Philosophical Foundations, Subjective Probability Elicitation, and Heuristics and Biases in Human Probability Judgment.

Keywords: probability theory, probability judgment, foundations of probability, heuristics and biases

JEL Classification: C11, D03

Suggested Citation

Davies, Todd R., Probability (September 27, 2019). Edited and Enhanced Transcript, MINDS AND MACHINES Video Lecture Series, Symbolic Systems, Program, Stanford University, Autumn 2019, Available at SSRN: https://ssrn.com/abstract=3649241 or http://dx.doi.org/10.2139/ssrn.3649241

Todd R. Davies (Contact Author)

Stanford University - Symbolic Systems Program ( email )

Stanford, CA 94305-2150
United States

HOME PAGE: http://www.stanford.edu/~davies

Center for the Study of Language and Information ( email )

Stanford, CA 94305-4115
United States

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